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Controller Design via Root Locus

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Root Locus MethodRoot Locus Gain Design+1 more→→Lead and Lag Compensators
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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

Understanding Zero → The Number Zero → Counting to Five → Counting to 10 → Counting to 20 → Counting a Set of Objects Up to 20 → Cardinality: The Last Number Counted → Matching Numerals to Quantities → Subitizing Small Quantities → Addition Within 10 → Number Bonds to 10 → Addition Within 20 → Doubles and Near Doubles → Doubles Facts Within 10 → Near Doubles Facts Within 20 → Mental Math Strategies for Addition → Mental Math: Adding and Subtracting Tens → Addition Within 100 → Repeated Addition as Multiplication → Multiplication as Equal Groups → Multiplication: Arrays → Basic Multiplication Facts (0s, 1s, 2s, 5s, 10s) → Multiplication Facts Within 100 → Division as Equal Sharing → Division as Grouping (Measurement Division) → Division: Grouping (Repeated Subtraction) Model → Division: Fair Sharing Model → Division as Equal Sharing → Division as Grouping → Basic Division Facts → Division Facts Within 100 → Multiplication and Division Fact Families → Relationship Between Multiplication and Division → Division Facts as Inverse of Multiplication → Remainders and Quotients in Division → Division Word Problems → Multi-Step Word Problems → Solving Multi-Step Word Problems → Multiplication Word Problems → Division Word Problems → Introduction to Long Division → Factors and Multiples → Prime and Composite Numbers → Equivalent Fractions → Relating Fractions and Decimals → Decimal Place Value → Integers and the Number Line → Comparing and Ordering Integers → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Dividing Integers → Unit Rates → Proportions → Percent Concept → Converting Between Fractions, Decimals, and Percents → Operations with Rational Numbers → Two-Step Equations → Solving Multi-Step Equations → Equations with Variables on Both Sides → Angle Pairs: Complementary, Supplementary, and Vertical → Parallel Lines and Transversals → Corresponding Angles → Alternate Interior Angles → Triangle Angle Sum Theorem → Exterior Angle Theorem → Triangle Inequality Theorem → Similar Triangles: AA Similarity → Similar Triangles: SSS and SAS Similarity → Proportions in Similar Triangles → Right Triangle Trigonometry Introduction → Sine, Cosine, and Tangent Ratios → Trigonometric Ratios Review → Radian Measure → Converting Between Degrees and Radians → The Unit Circle → Graphing Sine and Cosine → Graphing Tangent and Reciprocal Trigonometric Functions → Derivatives of Trigonometric Functions → Antiderivatives → Indefinite Integrals → Basic Integration Rules → Riemann Sums → Definite Integral Definition → Double Integrals: Definition and Setup → Iterated Integrals and Fubini's Theorem → Double Integrals over Rectangular Regions → Double Integrals over General Regions → Applications of Double Integrals: Area, Mass, and Moments → Triple Integrals in Cartesian Coordinates → Triple Integrals in Cylindrical and Spherical Coordinates → Change of Variables and the Jacobian Determinant → Applications of Triple Integrals: Volume and Mass → Vector Fields and Their Representations → Line Integrals of Vector Fields → Work and Circulation → Line Integrals of Scalar and Vector Functions → Fundamental Theorem for Line Integrals → Conservative Vector Fields → Conservative Vector Fields and Potential Functions → Curl and Divergence of Vector Fields → Curl and Divergence → Divergence Theorem → Electric Flux and Divergence Theorem → Gauss's Law: Integral Form and Meaning → Solving Problems with Gauss's Law → Conductors in Electrostatic Equilibrium → Capacitance and Capacitors → Dielectrics → Dielectric Constant and Relative Permittivity → Electric Field Inside Dielectric Materials → Dielectric Materials and Polarization → Dielectric Susceptibility and Permittivity → Energy Density in Electric Fields → Electric Current and Current Density → Electrical Resistance and Resistivity → Ohm's Law and Circuit Elements → Electromotive Force (EMF) and Batteries → Kirchhoff's Circuit Laws: Voltage and Current → DC Circuit Network Analysis Methods → Transient Response in RC Circuits → RC Circuits → First-Order Transient Circuit Response → Second-Order Transient Circuit Response → Feedback Control Fundamentals → Laplace Transform Methods for Control → Transfer Functions and System Modeling → Poles, Zeros, and System Stability → Characteristic Equation and Closed-Loop Stability → Routh-Hurwitz Stability Criterion → Root Locus Method → Root Locus Construction Rules → Root Locus Gain Design → Controller Design via Root Locus

Longest path: 135 steps · 891 total prerequisite topics

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