Controller Design via Root Locus

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compensator-design root-locus dominant-poles angle-condition design-specs

Core Idea

Controller design via root locus involves adding compensator poles and zeros to reshape the locus so it passes through desired closed-loop pole locations corresponding to performance specifications. The design maps specifications (settling time, overshoot) to a desired dominant pole location in the s-plane, then determines the phase angle contribution the compensator must provide to satisfy the angle condition at that point. Lead compensators (zero closer to imaginary axis than pole) add phase to increase speed; lag compensators improve steady-state accuracy by adding low-frequency gain. The dominant pole assumption — that poles closest to the imaginary axis govern the step response — underpins the method but must be verified post-design.

How It's Best Learned

Calculate the required angle contribution at the desired pole location before determining compensator zero and pole placement. Always verify the dominant pole assumption by checking that non-dominant poles are at least 5× further left in the s-plane, and simulate the full response.

Common Misconceptions

Explainer

From your prerequisite on the root locus method, you know how to sketch the locus — the set of all possible closed-loop pole locations as gain K varies from 0 to ∞. Controller design via root locus reverses this question: instead of asking "where do the poles go as K increases?", you ask "what compensator do I need to make the locus pass through the pole locations I want?" The starting point is always translating time-domain performance specifications into a desired closed-loop pole location in the s-plane.

The mapping from specs to s-plane is concrete. For a second-order system, percent overshoot maps to a minimum damping ratio ζ via %OS = 100·exp(−πζ/√(1−ζ²)), which corresponds to a wedge-shaped region in the left-half s-plane centered on the real axis. Settling time maps to a minimum distance from the imaginary axis: the real part of the desired pole σ = −4/T_s (for a 2% criterion). Where these constraints intersect — a specific complex location s* — is your desired dominant pole. If the uncompensated locus does not pass through s*, a compensator is needed to reshape it.

The angle condition is the mechanism. A point s* is on the root locus if and only if the phase angle of the open-loop transfer function G(s)H(s) evaluated at s* equals ±180° (an odd multiple). You evaluate the phase contribution of all existing poles and zeros at s* and compute the angle deficiency — how many degrees short of 180° the current system is. A lead compensator C(s) = (s + z)/(s + p) with z < p (zero closer to the origin than the pole) contributes positive phase at s*. You place the compensator zero and pole geometrically — often by bisecting angles — to contribute exactly the required angle deficiency. Once the angle condition is satisfied, the locus passes through s*, and you set gain K to place the closed-loop poles exactly at s*.

Lag compensators work differently and serve a different purpose. A lag compensator C(s) = (s + z)/(s + p) with z > p (pole closer to origin) contributes negative phase but adds low-frequency gain without significantly changing the locus shape near the desired poles. This improves steady-state accuracy — reducing position or velocity error — without substantially affecting transient performance. The dominant pole assumption that underpins all of this must be verified: if any non-dominant closed-loop poles are within 5× the real-part magnitude of the dominant poles, they will significantly affect the response and the design requires iteration. Always simulate the full closed-loop response to confirm the design meets specs before considering the job done.

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 FunctionsAntiderivativesIterated Integrals and Fubini's TheoremDouble Integrals in Cartesian CoordinatesDouble Integrals over Rectangular RegionsDouble Integrals in Polar CoordinatesDouble Integrals: Definition and SetupIterated Integrals and Fubini's TheoremDouble Integrals over Rectangular RegionsDouble Integrals over General RegionsApplications of Double Integrals: Area, Mass, and MomentsTriple Integrals in Cartesian CoordinatesTriple Integrals in Cylindrical and Spherical CoordinatesChange of Variables and the Jacobian DeterminantApplications of Triple Integrals: Volume and MassVector Fields and Their RepresentationsLine Integrals of Vector FieldsGreen's TheoremSurface Integrals and Flux of Vector FieldsSurface Integrals and Flux of Vector FieldsDivergence Theorem: Flux and OutflowDivergence TheoremElectric FluxGauss's LawConductors in Electrostatic EquilibriumCapacitance and CapacitorsDielectricsDielectric Constant and Relative PermittivityElectric Field Inside Dielectric MaterialsDielectric Materials and PolarizationDielectric Susceptibility and PermittivityEnergy Density in Electric FieldsElectric Current and Current DensityElectrical Resistance and ResistivityOhm's Law and Circuit ElementsElectromotive Force (EMF) and BatteriesKirchhoff's Circuit Laws: Voltage and CurrentDC Circuit Network Analysis MethodsTransient Response in RC CircuitsRC CircuitsLC and RLC CircuitsSecond-Order Transient Circuit ResponseFeedback Control FundamentalsLaplace Transform Methods for ControlTransfer Functions and System ModelingFirst-Order System Time ResponseSecond-Order System Time ResponseRouth-Hurwitz Stability CriterionRoot Locus MethodRoot Locus Construction RulesRoot Locus Gain DesignController Design via Root Locus

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