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Root Locus: Asymptotes, Centroid, and Breakaway Points

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Root Locus: Angle and Magnitude ConditionsCompensation Design: Cascade vs. Feedback Control Tradeoffs
root-locus asymptotes centroid breakaway-points

Core Idea

Asymptotes describe locus behavior at high frequency (σ = Σpoles - Σzeros)/(#poles - #zeros), angles = 180°(2k+1)/(n-m)). Centroid is their intersection point. Breakaway/break-in points occur where dK/ds = 0, indicating multiple roots. These features enable sketching the locus without computing every point.

Explainer

From your work on the root locus angle and magnitude equations, you know that as gain K increases from 0 to ∞, the closed-loop poles travel continuously along paths in the s-plane that start at the open-loop poles (K = 0) and end at the open-loop zeros (K → ∞). If there are more poles than zeros — which is almost always true in physical systems — some branches cannot end at finite zeros. Instead, they travel outward toward infinity along asymptotes. Understanding where those asymptotes go is essential for predicting whether a high-gain system will be stable.

The asymptote angles are evenly spaced at 180°(2k+1)/(n−m) degrees, where n is the number of poles and m the number of zeros, and k = 0, 1, 2, … up to (n−m−1). For a system with 3 poles and 1 zero, there are 2 asymptotes at angles of 90° and 270° (straight up and straight down in the s-plane). For 3 poles and 0 zeros, the asymptotes are at 60°, 180°, and 300°. The centroid σ_a is where all asymptotes intersect the real axis: σ_a = (Σ real parts of poles − Σ real parts of zeros) / (n − m). This single point anchors all the asymptotes and tells you immediately whether the branches escaping to infinity are heading into the left half-plane (stable) or right half-plane (unstable). A centroid deep in the left half-plane is reassuring; a centroid near the imaginary axis warns that high-gain instability is possible.

Breakaway and break-in points occur where two or more branches of the locus coincide — that is, where the characteristic equation has repeated roots. On the real axis, branches that are traveling along the real axis in opposite directions will meet at some point and break away from the real axis into complex conjugate pairs (a breakaway point). Conversely, complex conjugate branches can meet on the real axis and re-enter it (a break-in point). These points occur where dK/ds = 0, since K is an implicit function of s along the locus. Differentiating the characteristic equation 1 + KG(s)H(s) = 0 gives a polynomial whose real roots are the candidate breakaway and break-in points.

Together, these three features — asymptote angles, centroid, and breakaway points — let you sketch the qualitative shape of the entire root locus with only arithmetic. You can immediately identify how many branches go unstable at high gain, roughly where they cross the imaginary axis, and whether the closed-loop poles pass through any real breakaway geometry. The sketch won't give you exact crossover frequencies (use the Routh criterion or Bode plot for that), but it gives you the topological picture of how pole locations evolve with gain — which is exactly the information needed for initial compensator design.

Practice Questions 5 questions

Prerequisite Chain

Understanding ZeroThe Number ZeroCounting to FiveCounting to 10Counting to 20Counting a Set of Objects Up to 20Cardinality: The Last Number CountedMatching Numerals to QuantitiesSubitizing Small QuantitiesAddition Within 10Number Bonds to 10Addition Within 20Doubles and Near DoublesDoubles Facts Within 10Near Doubles Facts Within 20Mental Math Strategies for AdditionMental Math: Adding and Subtracting TensAddition Within 100Repeated Addition as MultiplicationMultiplication as Equal GroupsMultiplication: ArraysBasic Multiplication Facts (0s, 1s, 2s, 5s, 10s)Multiplication 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 100Multiplication and Division Fact FamiliesRelationship Between Multiplication and DivisionDivision Facts as Inverse of MultiplicationRemainders and Quotients in DivisionDivision Word ProblemsMulti-Step Word ProblemsSolving Multi-Step Word ProblemsMultiplication Word ProblemsDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueIntegers and the Number LineComparing and Ordering IntegersAbsolute ValueAdding IntegersSubtracting IntegersMultiplying IntegersDividing IntegersUnit RatesProportionsPercent ConceptConverting Between Fractions, Decimals, and PercentsOperations with Rational NumbersTwo-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 IntroductionSine, Cosine, and Tangent RatiosTrigonometric 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 DefinitionDouble Integrals: Definition and SetupIterated Integrals and Fubini's TheoremDouble Integrals over Rectangular RegionsDouble Integrals over General RegionsApplications of Double Integrals: Area, Mass, and MomentsCenter of MassConservation of Linear MomentumElastic CollisionsInelastic CollisionsCoefficient of RestitutionCollision Analysis and Real-World ApplicationsTwo-Body Collisions in the Center-of-Mass FrameReduced Mass and Two-Body ProblemsKinematics in Two DimensionsProjectile MotionCircular Motion: KinematicsSimple Harmonic MotionIntroduction to Differential EquationsLaplace Transform: Fundamentals and PropertiesLinear Time-Invariant (LTI) Systems and PropertiesDeriving Transfer Functions from Differential EquationsRoot Locus: Angle and Magnitude ConditionsRoot Locus: Asymptotes, Centroid, and Breakaway Points

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