SECTION 01 · 6 MINUTES
Disturb an aircraft from trim
What are we measuring when we say the aircraft returns to trim?
The reference is a motion through space.
The gust has passed: what happens next? Picture a conventional fixed-wing aircraft in straight, wings-level reference flight. Its state and controls satisfy the trim equations for the selected operating condition. That reference aircraft is moving. We compare the disturbed aircraft with this continuing nominal motion, rather than measuring how far it is from a fixed point on the ground.
A brief gust or control pulse creates a departure in forward or vertical velocity, angle of attack, pitch rate, or attitude. These quantities can change together even if the first visible cue is nose motion. Once the gust has ended and the controls have returned to their reference values, the initial perturbation evolves according to the local aircraft dynamics. A persistent gust or continuing control change instead produces a forced response.
Subscript 0 denotes the reference condition. The time-zero departure is a different object: the perturbation state just after release. The controls may retain nonzero trim elevator and throttle values throughout the free interval; it is the control perturbation that is zero. A decaying perturbation can therefore approach the reference flight condition while the aircraft continues to translate.
Reference motion and perturbation equilibrium
An equilibrium in perturbation coordinates means that the departure is zero along the declared reference motion. It does not require every position coordinate of the full aircraft to be constant. Straight reference flight can have constant body velocities and attitude while the geographic position changes continuously.
The decomposition u = + applies at every time. The suffix 0 is a reference label; (0) is the forward-speed departure at the chosen initial instant. The post-disturbance initial state may contain several nonzero entries. A short input establishes that initial state; after release its continuing perturbation value is zero.
A release experiment
In flight-test language, a brief pulse followed by a return to the reference input can expose a free transient. A sustained input must remain in the forced-response model. Choosing a different reference condition also changes the local matrix, so a stability statement always identifies the operating point and the perturbations under consideration.
The course state velocities are ground-relative body components. Aerodynamic angles use air-relative velocity. In wind, subtract the wind expressed in body axes before forming aerodynamic angles; constant navigation-frame wind still changes body components as attitude changes. Zero wind is the explicit simplification in this lesson. Body pitch rate q and Euler pitch-angle rate coincide only under the declared symmetric longitudinal linearization.
Disturb, release, keep flying
Assumptions & scope
Rigid aircraft; fixed operating point; small perturbations; fixed reference controls after release; local flat, nonrotating navigation frame. The displayed example assumes zero wind, so ground-relative and air-relative velocities coincide.
Interpretation cue
Recovery of a reference flight condition does not imply recovery of the same geographic position. Pitch attitude is measured from the horizon; angle of attack is measured from air-relative velocity.
Pause & interpret
At the release instant, name two state perturbations that can be nonzero while the perturbation controls are zero.
Nelson §4.1 pp.131–132; §4.4 pp.147–149, especially Fig.4.10 and Eqs.4.49–4.52.
Yechout Chapter 7 introduction p.331; §7.3.2 pp.356–357 (longitudinal variable relationships).
Equation & visual provenance
EQ-L02-01–02 · AE426-INSTRUCTIONAL-SYNTHESIS; course notation standard §§6/8, Nelson Eq.4.52 p.149. Original reference/release schematic.
Section 1 follows the approved AE 426 M4 Lecture 02 architecture. Text and artwork are original course material; citations identify the supporting mathematical content.
SECTION 02 · 7 MINUTES
Static versus dynamic stability
Does an initial restoring tendency guarantee that the motion settles?
The first tendency and the complete history answer different questions.
Give the same aircraft a small upward angle-of-attack disturbance. Under the declared constraints, an initial nose-down pitching moment is a restoring tendency. Inertia can carry the motion through the reference condition, however, and the aerodynamic damping and coupled state changes determine what follows. One restoring derivative does not fix the complete set of aircraft roots.
Static stability describes this initial restoring tendency. Dynamic stability describes the time evolution of perturbations after the disturbance. A decaying oscillation approaches zero departure, a bounded neutral oscillation persists, and an unstable linear response grows. The three mathematical histories below begin with the same displacement and zero initial rate; each initially accelerates toward the reference, yet their later envelopes differ.
Asymptotic stability requires every sufficiently small initial perturbation to tend to zero. Seeing one decaying trace does not establish that whole-model property: an unstable mode may be weakly excited or absent from the measurement. Even asymptotic stability alone does not establish good flying qualities; a response can settle too slowly or demand excessive pilot attention for a particular task.
A derivative is one ingredient of a dynamic model
A static derivative evaluates a local force or moment change with specified quantities held fixed. The characteristic roots instead combine the state couplings, inertia, kinematics and derivatives in the complete local model. For example, a canonical scalar oscillator has the same restoring term for every damping value in the visual, while its rate term changes the subsequent envelope.
The phrase “for every sufficiently small initial perturbation” matters. A stable observed component is compatible with an unexcited unstable internal component. Bounded neutral response is also different from convergence: an undamped sinusoid can remain near the reference without tending to it.
After Section 6, revisit the imaginary axis. A repeated eigenvalue on that axis gives bounded response only if its associated Jordan blocks have size one. The defective zero-root example in Student Study Section 6 produces linear drift despite having no positive-real-part root. This matrix caveat does not change the bounded undamped scalar example shown here.
For an actual nonlinear aircraft, strictly negative real parts support local asymptotic stability under the usual smoothness assumptions. Axis roots leave the linearization test inconclusive about nonlinear local stability. These are local statements, not guarantees for large disturbances.
Initial tendency versus subsequent evolution
- decaying · ζ=0.25
- bounded neutral · ζ=0
- divergent · ζ=−0.15
Assumptions & scope
Local, continuous-time LTI free response. Neutral means bounded homogeneous motion without decay. Imaginary-axis roots of a linearization do not alone settle the nonlinear aircraft stability question.
Interpretation cue
An initial restoring moment is compatible with poorly damped or divergent subsequent motion. Judge the complete coupled dynamics and the relevant task.
Pause & interpret
Which of the three histories approaches zero? What additional evidence would you need before declaring the entire aircraft model asymptotically stable?
Nelson §4.1 p.132 (pilot/system interpretation); §4.2 pp.133–138, Fig.4.2 and Table4.1.
Yechout p.331 (dynamic-stability definitions); §7.2 pp.346–347, Fig.7.10.
Equation & visual provenance
EQ-L02-03 · AE426-DERIVED stability requirement. Static/dynamic teaching comparison · AE426-INSTRUCTIONAL-SYNTHESIS. Scalar response families · BOTH / CROSS-CORROBORATED.
Section 2 follows the approved AE 426 M4 Lecture 02 architecture. Text and artwork are original course material; citations identify the supporting mathematical content.
SECTION 03 · 8 MINUTES
First-order response and time constant
What does a single negative real root tell us about the rate of recovery?
An exponential removes the same fraction in each equal interval.
A predominantly roll-rate decay after a brief aileron disturbance offers an aircraft intuition for first-order motion. For now we isolate a scalar mathematical coordinate. It is not the complete aircraft model; the reduced roll approximation and its validity belong to the later lateral-directional lesson.
The balance says that the rate of change is proportional to the present departure. Substituting an exponential verifies the solution by differentiation. A negative real root produces decay, zero produces a constant departure, and a positive real root produces growth. Each individual real mode is nonoscillatory, although a sum of real modes can have a turning point.
For a stable real root, one time constant leaves 1/e, or about 36.8%, of the initial departure. The half-time instead asks when half the remaining amplitude survives. A growing real root has a doubling time and no positive stable decay time constant. The small forced-step inset shows a related but different statement: 63.2% of the final change has been completed after one time constant. Reversing the initial sign reflects the history about zero without changing any of these time scales.
Solve the free equation
For a nonzero initial displacement, divide the homogeneous equation by x and separate the variables. Integrating between the release time and t fixes the constant of integration. The zero initial state is handled separately and remains identically zero.
Setting the amplitude ratio to 1/e, 1/2 or 2 yields the time metrics. The stable fixture a=2 has τ=0.5 s and half-time ln(2)/2=0.3466 s. The unstable λ=0.5 fixture doubles in 1.3863 s. At a=0, x(t)=x(0), so no finite decay time exists.
A forced first-order example
For a constant forcing, subtract the equilibrium b/a when a is nonzero. The error then obeys the homogeneous equation. The equilibrium is approached only for a positive coefficient a.
Here τ=2/3 s, x(0)=0 and the final value is 2. Differentiating gives =3, so 2+3x=6 exactly. At τ the completed change is 2(1−); the remaining error is 2. If a=0, the constant forcing integrates into x(0)+bt rather than approaching b/a.
One real root, one exponential
- λ=−2 · stable
- λ=0 · neutral constant
- λ=+0.5 · unstable
Step inset: +2x=2, x(0)=0. Free plot: =λx, x(0)=1.
Assumptions & scope
One scalar homogeneous coordinate; constant real coefficient; elapsed time in seconds. Fixture DS-C-L02-RESP: x(0)=1 dimensionless and λ=−2, 0, +0.5 .
Interpretation cue
“First order” specifies an equation order. It does not establish that every measured aircraft response contains only one exponential.
Pause & interpret
For λ=−2 , compare the departure remaining at 0.5 s with that remaining at the half-time. State whether you are discussing free decay or a forced step.
Nelson §5.2 p.182, Eqs.5.3–5.5 (constrained rolling response); §4.2 pp.134–135 (exponential ansatz); §4.3 pp.145–146 (half/doubling concepts).
Yechout §7.1.1 pp.334–339, Eqs.7.7–7.11; Examples7.1–7.2 pp.335–337.
Equation & visual provenance
EQ-L02-04–07 · YECHOUT-EXPLICIT with AE426 sign notation. Initial-condition constants and manufactured forced example · AE426-DERIVED. DS-C-L02-RESP · Category C.
Section 3 follows the approved AE 426 M4 Lecture 02 architecture. Text and artwork are original course material; citations identify the supporting mathematical content.
SECTION 04 · 12 MINUTES
Second-order response
How can a restoring motion oscillate, and what changes as damping changes?
Restoring tendency, inertia and damping act together.
Return to the disturbed pitch picture. Inertia allows an overshoot even when the initial moment restores. A scalar second-order pattern is the minimum model for one oscillatory component of a coupled aircraft response. It does not assert that a free aircraft is literally a pitch spring at fixed speed.
The undamped natural frequency is the coefficient-based frequency scale of this canonical model; it equals the sinusoidal frequency when damping is zero. Damping ratio compares the rate coefficient with the critical value. The actual oscillation frequency is lower than the natural frequency for a damped pair. A forced response can also follow an imposed frequency, and a higher-order aircraft contains several natural components.
Hold both initial displacement and initial rate fixed while varying damping. Positive underdamping gives a decaying sinusoid, zero damping gives a bounded sinusoid, critical damping gives a repeated negative root, and overdamping gives two negative real roots. Negative damping is unstable: it may produce a growing sinusoid, a repeated positive root, or two positive real roots. The growing trace uses a separate scale so the stable family remains readable.
Both initial conditions determine the free-response constants. At the repeated root the solution contains a time multiplier; dividing an oscillatory formula by zero frequency is invalid. Nor does a stable nonoscillatory response have to be monotonic for every possible initial rate.
A mechanical analogy, after the aircraft example
A mass >0, spring >0 and viscous damper obey the following equation when displacement ξ is measured from static equilibrium. Dividing by mass identifies the canonical parameters. Negative is a manufactured negative-damping case, not a passive damper.
For free motion, insert x=C. The resulting quadratic gives the roots in EQ-L02-10. Distinct exponentials are independent solutions; a repeated root requires the second independent solution t. Complex conjugates combine into a real cosine/sine form.
Evaluate both initial-condition constants
At ζ=1, λ=−. At ζ=−1, λ=+. For the common displacement-one, rate-zero fixture, the stable critical response is (1+2t) and the negative-critical response is (1−2t). Direct substitution and evaluation at t=0 verify both conditions. A polynomial times a decaying exponential still tends to zero.
Keep forced response distinct
The constant particular solution 1 becomes the final value only when the homogeneous transient decays. With negative damping it remains a particular solution without being an attained steady state. Yechout Examples7.3–7.6 extend this prerequisite algebra; the fixtures here are independently declared mathematics, not numerical reconstructions of those aircraft examples.
The complete damping family
- ζ=0
- ζ=0.25
- ζ=1
- ζ=2
- ζ=−0.25 · growing oscillation
Negative real-root cases: ζ=−1 and ζ=−2
- ζ=-1 · repeated positive root
- ζ=-2 · two positive real roots
| ζ | Roots λ [] | Classification |
|---|---|---|
| -0.25 | 0.5 + j1.936 ; 0.5 − j1.936 | negative-damping complex |
| 0 | 0 + j2 ; 0 − j2 | undamped |
| 0.25 | -0.5 + j1.936 ; -0.5 − j1.936 | underdamped |
| 1 | -2 ; -2 | critical |
| 2 | -0.536 ; -7.464 | overdamped |
| -1 | 2 ; 2 | negative-damping repeated |
| -2 | 7.464 ; 0.536 | negative-damping real |
Assumptions & scope
Canonical scalar model; real constant coefficients; >0; no continuing input. Every V02-04 trace uses =2 rad/s, x(0)=1 and (0)=0.
Interpretation cue
Second order does not imply oscillation. Negative damping does not imply oscillation either; inspect the discriminant and the root signs.
Pause & interpret
Compare ζ=0.25 with ζ=2. Which trace crosses the reference repeatedly? Explain using its roots rather than its color.
Nelson §4.2 pp.133–138, Eqs.4.1–4.27; Table4.1 p.138. The ζ=−1 repeated positive-root row is obtained by direct substitution.
Yechout §7.1.2 pp.339–343, Eqs.7.12–7.22; Examples7.3–7.6 pp.343–349.
Equation & visual provenance
EQ-L02-08–12 · BOTH / CROSS-CORROBORATED. Initial-condition algebra, negative-critical case and plots · AE426-DERIVED; DS-C-L02-RESP · Category C. Source frequency wording repaired under DS-C04.
Section 4 follows the approved AE 426 M4 Lecture 02 architecture. Text and artwork are original course material; citations identify the supporting mathematical content.
SECTION 05 · 14 MINUTES
Complex-plane roots and time response
Can we read the kind and speed of motion directly from a root location?
Horizontal position sets the envelope; vertical distance sets the oscillation.
Each root describes a natural time factor. Euler’s identity separates a complex exponential into a real exponential envelope and sine/cosine motion. A real aircraft matrix produces nonreal roots in conjugate pairs, whose contributions combine into a real state history. The shared real part determines decay or growth; the imaginary part determines the sinusoidal frequency.
Left-half-plane roots decay and right-half-plane roots diverge. A simple imaginary-axis pair produces a bounded undamped oscillation. Negative real roots produce individual nonoscillatory decays; positive real roots produce nonoscillatory growth. At the origin a scalar response stays constant. For a larger matrix, repeated axis roots require the qualification introduced in Section 6.
The root radius gives the pair natural frequency. For a stable upper-half-plane root, χ is the angle from the negative real axis and ζ=cosχ. This geometric angle is distinct from bank angle and from the initial-condition phase. Moving a pair vertically at fixed real part changes the period while leaving the envelope rate unchanged. Moving it horizontally changes the envelope even if the period stays fixed.
The fixture λ=−0.4±j1.2 has =√1.6 rad/s, ζ=0.4/√1.6, period 2π/1.2 s and envelope half-time ln(2)/0.4 s. A half-time measures the envelope, not the instant at which a sign-changing state first crosses half its initial value. For a real root there is no oscillation period or isolated-pair damping ratio.
Geometry and time scales
Circles centered at the origin have constant natural frequency. In the stable half-plane, rays from the origin have constant damping ratio because the angle χ is fixed. Along one ray, moving outward speeds both the exponential and sinusoidal time scales; along a vertical line, only damped frequency changes.
For λ=−0.4±j1.2 , the displayed values are =1.2649 rad/s, ζ=0.3162, T=5.2360 s, envelope time constant 2.5 s, and half-time 1.7329 s. Internal calculations retain the exact square root and logarithms. The oscillatory transient is not strictly periodic when its envelope changes, although T is the period of its sinusoidal factor.
A real-root example
The slower −2 term governs late decay. This quadratic has a coefficient-defined damping ratio 1.25; neither individual real root is assigned the oscillatory pair formula by itself. Arbitrary coefficients can make a sum of real exponentials turn once without becoming sinusoidal.
Optional extension: for an isolated stable pair, the logarithmic decrement between peaks one sinusoidal period apart is −σT. It measures the envelope ratio. A root moving closer to the origin can slow one or both time scales, depending on the path; a larger damping ratio alone does not uniquely specify recovery speed.
Read a root’s geometry
Root ↔ envelope ↔ waveform
- real waveform
- positive envelope
- negative envelope
I02-01 · Manufactured mathematical fixture
Pole ↔ response explorer
1 · Predict Move the root vertically at fixed σ. Does the envelope decay rate change?
Static equivalent: exact response samples
DS-C-L02-RESP · Continuous-time analytic fixture. The real-root boundary models one scalar exponential; it makes no repeated-root matrix stability claim. Controls use keyboard arrow keys. Reduced motion keeps playback paused until explicitly requested.
Assumptions & scope
Real continuous-time LTI model; nonzero modal excitation. Oscillatory metrics require >0. Zero real part has no finite envelope decay or doubling time.
Interpretation cue
More negative real part and larger damping ratio are different comparisons. The envelope rate and the oscillation period are independent coordinates on this map.
Pause & interpret
Compare =−0.2±j1.6 and =−0.8±j1.6 . Predict their relative periods, decay rates and natural frequencies before checking the explorer.
Nelson §4.2 pp.137–138, Figs.4.3–4.4, Eqs.4.21–4.27; §4.3 pp.145–146 (half-time/period).
Yechout §7.1.2.3–7.1.2.4 p.342, Eqs.7.19–7.21; §7.2 pp.344–349, Figs.7.9–7.10.
Equation & visual provenance
EQ-L02-13–15/17 · BOTH / CROSS-CORROBORATED with domain synthesis; EQ-L02-16 · AE426-DERIVED. χ versus response phase corrected under DS-R06. V02-05/06 original plots; DS-C-L02-RESP · Category C.
Section 5 follows the approved AE 426 M4 Lecture 02 architecture. Text and artwork are original course material; citations identify the supporting mathematical content.
SECTION 06 · 12 MINUTES
Linearized state-space free response
Where do the aircraft’s characteristic roots come from?
A natural mode is an exponential time law attached to a state pattern.
The aircraft’s forward and vertical velocity departures, pitch rate and pitch attitude are linked. In the declared order [, , , ]ᵀ, matrix describes the local state couplings. Matrix describes how perturbation controls enter. The bold input vector means [, ]ᵀ here; scalar forward-speed perturbation remains a state.
Free response sets the perturbation controls to zero after release. This leaves the trim elevator and throttle at their reference values and leaves the state disturbance available to evolve. The already-solved state model comes from Lecture 01; any acceleration-coupling mass matrix must have been inverted under its stated nonsingularity assumption.
Assume that a special nonzero state pattern is multiplied by one exponential. Substituting that pattern into the free equation gives A v=λv. A nonzero vector can satisfy the homogeneous equation only when A−λI is singular. The characteristic determinant supplies the candidate eigenvalues; the corresponding homogeneous equations supply their eigenvectors.
Eigenvalues determine temporal behavior, eigenvectors give the relative state pattern, and the initial condition determines how strongly the patterns are excited. The matrix exponential is the exact free-response operator, including cases without a complete eigenvector basis. A four-state model has four roots counted with multiplicity; one conjugate pair represents one real oscillatory mode.
Derive the eigenproblem from the aircraft model
Use the sign-neutral control order [, ]ᵀ and retain the reference values. For free motion only the control perturbation vector vanishes. For the exponential trial state, differentiation gives λv, while the right side is Av. Cancel the nonzero exponential and require a nonzero vector.
Changing determinant order multiplies the determinant by (−1)ⁿ, leaving its zeros unchanged. The determinant is a polynomial in λ, rather than a test of det(A) alone. For mixed-unit states, symbolic A entries have row/column-dependent dimensions; blanket inverse-second units apply to the dimensionless mathematical fixture, not every aircraft entry.
The general solution operator
Differentiate the power series term by term to recover =Ax and set t=0 to recover the initial state. When V is nonsingular, A=VΛ and =V. Repeated stable roots may introduce polynomial factors that still decay; a complete eigenvector basis is not assumed in the matrix-exponential statement.
Why axis-root multiplicity needs care
Both mathematical states are dimensionless. With x(0)=[0,1]ᵀ the response is [t/(1 s),1]ᵀ: the first state grows linearly. The double zero eigenvalue is defective. By contrast, A=0 has semisimple zero eigenvalues and every state stays constant. Thus imaginary-axis location alone is insufficient for bounded matrix response. These Category C examples are course-derived analysis, not aircraft data.
State model → eigenstructure → motion
Aircraft state order
| Rate row | ||||
|---|---|---|---|---|
- State model → candidate time factorsApply the exponential ansatz =v and solve det(λI−A)=0.
- Selected eigenvalue → time law supplies decay/growth and oscillation.
- Selected eigenvector → state pattern supplies relative state amplitudes and phases.
- Initial state → modal coefficientsc=(0), when V is nonsingular.
- Eigenpairs + coefficients → assembled responseSum the real modal contributions.
- State/input/output realization → G(s)C(sI−A)⁻¹B+D is a separate zero-IC input/output view; visibility depends on B and C.
Selected-root interpretation · dimensionless mathematical inset
Selected λ=−0.5+j√15/2 and eigenvector [1,λ(1 s)]ᵀ → scaled/normalized amplitudes → phase relative to state 1.
S=diag(1,1); max-amplitude normalization; common reference is state 1. This inset uses DS-C-L02-MODE, not the symbolic aircraft matrix.
Assumptions & scope
Finite-dimensional real continuous-time LTI model about one operating point; ordinary solved state-space form. Matrix entry units follow [Aᵢⱼ]=[ᵢ]/[xⱼ], because aircraft states have mixed units.
Interpretation cue
All real parts negative gives asymptotic stability. Any positive real part gives instability. With no positive real part, bounded axis motion additionally requires semisimple imaginary-axis eigenvalues. det(A)=0 alone is not the characteristic equation.
Pause & interpret
In the symbolic diagram, identify which object gives a time law, which gives a state pattern, and which supplies the modal amplitudes.
Nelson §4.4.1 pp.148–152, Eqs.4.49–4.60 and Example4.2.
Yechout §7.3.2 pp.356–358 (aircraft characteristic equations through Laplace algebra; corroborating aircraft context).
Equation & visual provenance
EQ-L02-18–22 · NELSON-EXPLICIT with AE426 state/input notation. EQ-L02-23 and semisimple/defective examples · AE426-DERIVED. V02-07 symbolic aircraft couplings, with no numerical aircraft matrix.
Section 6 follows the approved AE 426 M4 Lecture 02 architecture. Text and artwork are original course material; citations identify the supporting mathematical content.
SECTION 07 · 10 MINUTES
Eigenvalues, eigenvectors and mode identity
How does an eigenvalue become an identifiable aircraft mode?
Separate the time law, the state pattern and its excitation.
Two aircraft responses may share decay rate and frequency yet look different because different state patterns or initial disturbances are involved. With a complete eigenvector basis, the initial state can be resolved into natural patterns. Each pattern keeps its own exponential time law, and the total motion is their superposition.
An eigenvector stores relative state amplitude and, for a complex mode, relative phase. Its overall multiplier and common phase are arbitrary. Before comparing aircraft components with different units, choose declared state scales and one common normalization. Changing those coordinates changes the displayed components while preserving the eigenvalues. Relative normalized amplitudes are mode-shape information; they are not unit-independent participation percentages.
The dashboard uses dimensionless mathematical states and the approved two-state matrix. Select either conjugate root, change the initial modal coefficient, and inspect the reconstructed real histories. Multiplying the eigenvector by five while dividing its coefficient by five leaves the physical response and frequency unchanged. Changing a state scale instead changes the comparison coordinates.
An eigenvalue belongs to a state matrix; a characteristic root solves the associated characteristic equation; a pole belongs to an input/output transfer model. For an appropriate minimal realization the system pole set matches the eigenvalues. A particular input/output channel can hide a mode through lack of controllability, observability, or cancellation, so one output history need not display every internal eigenvalue.
Calculate the exact Category C eigenpair
The first row gives =λ(1 s). With =1, substitution into the second row gives the same quadratic. The residual Av−λv is zero up to floating-point roundoff. The factor one second makes the two eigenvector components consistent with dimensionless states; no aircraft variable is attached to either coordinate.
For x(0)=[1,0]ᵀ, c=1/2−j/(2√15). Both conjugate contributions are required for a real state. This two-state fixture contains one real oscillatory mode; its conjugate roots are not two separately excitable real aircraft modes. Different initial states alter amplitude and phase, not its eigenvalues.
Scale coordinates and normalize once
With z=x and S=diag(,), compare |,i|/max|,j|. Relative phase is measured from a declared nonzero component. For S=I, ||/||=2 and the upper-root relative phase is arg(−0.5+j√15/2)=1.8235 rad. If S=diag(1,2), both scaled amplitudes are equal. This is a coordinate change, not altered dynamics. Multiplying every component by the same nonzero complex number preserves these relative quantities.
Laplace prerequisite recap
Use causal transforms over t≥0 and a region of convergence to the right of the signal growth bound. The uppercase X(s) denotes the transform of the scalar or vector perturbation; it does not redefine the course reference suffix. With no impulsive state jump, pre- and post-release initial values coincide for the derivative rule.
| Time-domain signal | Transform | Region of convergence |
|---|---|---|
| Unit impulse δ(t) | 1 | All finite s |
| Unit step H(t) | Re(s)>0 | |
| Unit ramp tH(t) | Re(s)>0 | |
| H(t) | Re(s)>−a | |
| sin(ωt)H(t) | Re(s)>0 | |
| cos(ωt)H(t) | Re(s)>0 |
Partial fractions reduce a rational response to real exponential, real conjugate-pair, or repeated-factor terms. For a declared scalar equation a double integrator/first-order denominator b/[s²(s+a)] inverts to b(at−1+)/a², for nonzero a. Its zero initial displacement/rate and late-time ramp slope b/a verify the coefficient; no unresolved source aircraft/control-sign example is imported.
Retain the initial state before forming a transfer function
Transforming the state equation gives (sI−A)ΔX=(0)+B. Solving for the transformed state yields EQ-L02-28. Add the output equation Δy=C+D. Only the zero-initial-condition part defines the input/output transfer matrix:
The transfer function is a ratio of transforms under zero initial conditions. The Laplace transform does not distribute over a time-domain quotient. Its inverse g(t) is the impulse-response kernel; the zero-state output is the convolution integral of g(t−τ)u(τ) from 0 to t, plus any direct feedthrough term. Zeros shape forced response and may cancel modal poles in a particular channel.
The initial-value theorem requires suitable regularity and no impulse at the origin. The final-value theorem requires all poles of sY(s), after valid simplification, to be in the open left half-plane. A growing or persistently oscillating response fails that condition.
A stable visible channel can hide instability
All states and input are dimensionless. The zero-state visible transfer function is G(s)=1/(s+1), while the internal eigenvalues are −1 and +1 . The second state is neither driven by this input nor observed by this output; a nonzero second initial state grows as . Choosing output C=[0,1] reveals that free growth. This explicit nonminimal realization explains why input/output poles cannot be read as an unconditional list of internal modes.
I02-02 · DS-C-L02-MODE
Eigenvalue / mode-shape dashboard
Dimensionless mathematical states and ; time in seconds. Matrix coefficients carry . These coordinates have no aircraft names.
1 · Predict Can multiplying an eigenvector by 5 change the frequency?
Static equivalent: state-history samples
Same internal roots, different output visibility
Separate Category C nonminimal example: A=diag(−1,+1) , B=[1,0]ᵀ , D=0. Both states and the input are dimensionless. Free initial state [1,1] excites both internal motions.
Assumptions & scope
Modal sum requires a complete eigenvector basis; matrix exponential remains valid otherwise. Real systems permit conjugate reconstruction. State scaling is fixed and nonsingular; zero components have no defined relative phase.
Interpretation cue
Changing excitation changes modal coefficients, while changing eigenvector normalization can be compensated by inverse coefficient scaling. Neither operation changes the eigenvalues of a fixed A.
Pause & interpret
Predict: can multiplying an eigenvector by 5 change the frequency? Commit your prediction, then use the dashboard to verify the residual and reconstructed histories.
Nelson §4.4.1 pp.150–151, Eqs.4.56–4.60; §4.5 pp.160–161, Eqs.4.82–4.84 and Figs.4.12–4.13 (eigenvectors/relative amplitudes).
Yechout §7.3.1 pp.349–355, especially §7.3.1.4 p.352 and §7.3.1.5 p.354; §7.3.2 pp.355–358 (aircraft characteristic denominator).
Equation & visual provenance
EQ-L02-24–28 · AE426-DERIVED modal/scaling/realization algebra; Nelson supports eigenvector interpretation. Yechout supplies Laplace/TF recap; quotient and theorem repairs DS-R03–05/21. DS-C-L02-MODE and hidden-mode example · Category C.
Section 7 follows the approved AE 426 M4 Lecture 02 architecture. Text and artwork are original course material; citations identify the supporting mathematical content.
SECTION 08 · 6 MINUTES
Bridge to the five classical aircraft modes
Which combinations of time scale and state pattern will we study next?
Names connect a temporal pattern with a physical state pattern.
For a conventional fixed-wing aircraft near a symmetric reference, a useful local partition often identifies two longitudinal oscillatory modes and three lateral-directional modes. Fast or slow describes the temporal law; the states that vary together describe the mode shape. Their combination supports the familiar names.
Short period is relatively fast angle-of-attack and pitch-rate motion with limited speed change. Phugoid is a slower variation in speed, attitude and flight path, with approximate exchange of kinetic and potential energy and relatively small angle-of-attack change. Dutch roll couples sideslip, yaw and roll in an oscillation. Roll subsidence is predominantly rapid roll-rate decay. Spiral is a very slow coupled bank/turn tendency that may be weakly unstable.
The factor pattern below is conditional on those physical identities and adequate separation. A real quartic’s algebraic factors do not prove a particular aircraft interpretation. Configuration, operating condition or augmentation can make roots real, bring them together, or exchange their character. No universal numerical frequency bands follow from the names; mathematical stability also remains separate from task suitability. The next lectures test the physical identities against full longitudinal and lateral state models.
Coordinates before mode labels
The primary longitudinal state remains [,,,]ᵀ. The preview lateral state is [,,,]ᵀ. Alpha and beta are aerodynamic angles formed from air-relative velocity; replace those components with the course ground-relative states only under the explicit zero-wind assumption.
At a trim-aligned reference =0, ≈/. At zero reference sideslip, ≈/. These are conditional first-order relationships; they do not turn body angular rates p,q,r into Euler-angle rates. The lateral linearized bank kinematics are φ̇≈p+tan()r, reducing to p only when the reference pitch makes that approximation appropriate.
| Mode | Typical root pattern | Dominant activity | Relative pace | Approximation caution |
|---|---|---|---|---|
| Short period | Complex pair | α and q; limited speed change | Relatively fast longitudinal | Speed is not identically constant |
| Phugoid | Complex pair | Speed, attitude, flight path; energy exchange | Relatively slow longitudinal | Drag/thrust affect damping; α is not identically fixed |
| Dutch roll | Complex pair | β, yaw and roll coupled | Oscillatory lateral-directional | Roll coupling and relative phase depend on the model |
| Roll subsidence | Usually negative real root | p decay | Relatively fast lateral | Rate decay alone does not restore bank |
| Spiral | Real root; either sign possible | Bank/turn tendency | Very slow lateral | A slow mode need not admit an accurate simple reduction |
The longitudinal factorization has two quadratics; the lateral pattern has one quadratic and two linear factors. Added position or heading integrators belong to an augmented state declaration and are listed separately. They are not silently renamed spiral. Detailed mode physics and reduction derivations remain in the next two lectures.
Source-linked numerical aircraft examples require their own complete state, unit, trim and model-version records. The present bridge uses no aircraft matrix. Its qualitative root symbols describe a common pattern rather than universal immutable identities.
The five classical aircraft modes
LONGITUDINAL
Short period
Complex pair · relatively fast
α / q dominant; limited speed change
Phugoid
Complex pair · relatively slow
speed / attitude / flight path
LATERAL-DIRECTIONAL
Dutch roll
Complex pair · oscillatory
β / yaw / roll coupled
Roll subsidence
Usually negative real root · relatively fast
predominantly p decay
Spiral
Real root; either sign · very slow
bank / turn tendency
Assumptions & scope
Conventional fixed-wing symmetric reference; local longitudinal/lateral separation. Sketches are qualitative, with exaggerated motion and compressed time. No numerical aircraft dataset or playback is implied.
Interpretation cue
“Limited” or “small” state variation is not identically zero. A mode can be weak in a particular measured state without being absent internally.
Pause & interpret
For each sketch, identify the likely root type and one dominant state. Explain why the root location alone cannot supply the physical name.
Nelson §4.4 p.148, Fig.4.10; §4.5 pp.152–160; Chapter5 §5.3 pp.189–193 and §5.4 pp.193–202.
Yechout §7.3.2.1 pp.358–360; §7.3.3.1 pp.371–375, Table7.2 p.375.
Equation & visual provenance
EQ-L02-29 · AE426-DERIVED coordinate differential; EQ-L02-30 · AE426-INSTRUCTIONAL-SYNTHESIS under classical separation. Mode interpretations · BOTH / CROSS-CORROBORATED. Original qualitative aircraft schematics.
Section 8 follows the approved AE 426 M4 Lecture 02 architecture. Text and artwork are original course material; citations identify the supporting mathematical content.