Bandwidth and Resonant Frequency Selection

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bandwidth resonance peak magnitude-response frequency-domain-performance

Core Idea

Bandwidth is the frequency at which magnitude drops to −3 dB (0.707 times the DC value). It indicates how fast a system can respond to changing reference inputs. Resonant peaks indicate underdamped modes; peak height increases as damping decreases.

Explainer

From your study of frequency response and Bode plots, you know how to compute and plot a system's gain and phase as a function of frequency — the magnitude plot showing |G(jω)| and the phase plot showing ∠G(jω). Bandwidth and resonance are the two most important features to read off those plots when assessing how a system will perform in closed-loop operation.

Bandwidth (ω_BW) is the frequency at which the closed-loop magnitude response drops to −3 dB, which corresponds to a gain of 0.707 (or 1/√2) relative to the DC value. The −3 dB criterion is not arbitrary: it is the frequency at which output power has dropped to half of its DC value (since power is proportional to amplitude squared). Below the bandwidth, the system tracks reference inputs faithfully — a sinusoidal command at frequency ω < ω_BW produces a nearly full-amplitude output. Above the bandwidth, the system cannot keep up: output amplitude shrinks and phase lag increases, meaning fast reference changes are partially or fully filtered out. Bandwidth is therefore a direct measure of speed: a wider bandwidth means the system can track faster-changing references. Practically, doubling the bandwidth roughly halves the rise time of the step response.

Resonant peaks in the frequency response appear when the system has underdamped poles — complex conjugate poles whose real part is small relative to their imaginary part. A second-order system with natural frequency ω_n and damping ratio ζ has a closed-loop frequency response that peaks near ω_n when ζ < 1/√2 ≈ 0.707. The peak magnitude is M_p = 1/(2ζ√(1−ζ²)), which grows without bound as ζ → 0. A resonant peak in the frequency response translates directly into overshoot in the step response: a system whose magnitude peaks at +6 dB will produce roughly 30% overshoot on a step input. This is the critical link between the frequency domain (where controller design happens) and the time domain (where performance specifications are written).

The tradeoff between bandwidth and resonance is central to control design. Increasing controller gain generally pushes the closed-loop bandwidth higher — faster tracking — but also brings the closed-loop poles closer to the imaginary axis, increasing the resonant peak and overshoot. Aggressive bandwidth comes at the cost of oscillatory transient behavior, noise sensitivity (high-frequency disturbances are amplified near the resonant peak), and eventually instability. The practical design goal is to achieve the bandwidth required by the speed specification while keeping M_p below about 3–6 dB (corresponding to ζ ≥ 0.35–0.5), ensuring acceptable damping. Resonant peaks at or above 0 dB — meaning the magnitude response exceeds DC gain at some frequency — indicate very underdamped behavior and often signal that the design is approaching instability margins.

Practice Questions 5 questions

Prerequisite Chain

Counting to 10Counting to 20Understanding ZeroThe Number ZeroCounting to FiveOne-to-One CorrespondenceCombining Small Groups Within 5Addition Within 10Addition Within 20Two-Digit Addition Without RegroupingTwo-Digit Addition with RegroupingAddition Within 100Repeated Addition as MultiplicationMultiplication Facts Within 100Division as Equal SharingDivision as Grouping (Measurement Division)Division: Grouping (Repeated Subtraction) ModelDivision: Fair Sharing ModelDivision as Equal SharingDivision as GroupingBasic Division FactsDivision Facts Within 100Two-Digit by One-Digit DivisionDivision with RemaindersRemainders and Quotients in DivisionDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueReading and Writing DecimalsComparing and Ordering DecimalsAdding and Subtracting DecimalsMultiplying DecimalsDividing DecimalsDividing FractionsMixed Number ArithmeticOrder of OperationsInteger Order of OperationsVariable ExpressionsCombining Like TermsOne-Step EquationsTwo-Step EquationsSolving Multi-Step EquationsEquations with Variables on Both SidesAngle Pairs: Complementary, Supplementary, and VerticalParallel Lines and TransversalsCorresponding AnglesAlternate Interior AnglesTriangle Angle Sum TheoremExterior Angle TheoremTriangle Inequality TheoremSimilar Triangles: AA SimilaritySimilar Triangles: SSS and SAS SimilarityProportions in Similar TrianglesRight Triangle Trigonometry IntroductionTrigonometric Ratios ReviewRadian MeasureConverting Between Degrees and RadiansThe Unit CircleGraphing Sine and CosineGraphing Tangent and Reciprocal Trigonometric FunctionsDerivatives of Trigonometric FunctionsAntiderivativesIndefinite IntegralsBasic Integration RulesRiemann SumsDefinite Integral DefinitionFundamental Theorem of Calculus Part 1Fundamental Theorem of Calculus Part 2U-SubstitutionIntegration by PartsSeparable Differential EquationsIntegrating Factor Method for First-Order Linear ODEsFirst-Order Linear Ordinary Differential EquationsSecond-Order Linear Homogeneous Differential EquationsCharacteristic Equation Method for Linear ODEsComplex Roots and Oscillatory SolutionsSpring-Mass Systems and Mechanical VibrationsResonance and Damping in Forced VibrationsRLC Circuit Applications of Differential EquationsIntroduction to Differential EquationsLaplace Transform: Fundamentals and PropertiesLinear Time-Invariant (LTI) Systems and PropertiesDeriving Transfer Functions from Differential EquationsStandard Test Signals and Input-Output AnalysisImpulse Response, Convolution, and System CharacterizationFrequency Response: Magnitude and Phase RelationshipsBandwidth and Resonant Frequency Selection

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