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Steady-State Error: System Type and Error Constants

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Standard Test Signals and Input-Output AnalysisLaplace Transform Properties and Inverse TransformResponse Specifications and Performance Metrics
steady-state-error system-type error-constant accuracy

Core Idea

System type (number of integrators in forward path) determines SSE to standard inputs: Type 0 has infinite error to ramp; Type 1 tracks ramps with finite error but infinite error to parabola. Error constants Kp, Kv, Ka quantify SSE magnitude. System type and gain must be chosen to meet steady-state accuracy specifications.

Explainer

System type is simply a count: how many pure integrators (poles at s = 0) appear in the open-loop forward path? A Type 0 system has none; a Type 1 system has one; a Type 2 has two. This number is the single biggest predictor of long-run tracking accuracy because integrators accumulate error over time — they effectively "remember" whether the output is keeping up. You already know from standard test signals that step, ramp, and parabolic inputs represent position, velocity, and acceleration commands respectively. System type determines which of these a closed-loop system can follow with zero steady-state error and which produce a persistent offset.

The rule is clean: a system of Type N tracks inputs of polynomial order up to N−1 with zero SSE, and order N with finite SSE. So a Type 0 system tracks a step (position) with finite error but a ramp with infinite error — the output falls further and further behind a moving reference. A Type 1 system cancels the position error completely and tracks a ramp with a finite lag, but cannot keep up with an accelerating reference. A Type 2 system handles position and velocity commands with zero error and acceleration with finite error. Each integrator in the forward path "uses up" one level of the tracking hierarchy.

Error constants quantify exactly how large the finite errors are. The position error constant Kp = lim(s→0) G(s) for Type 0 gives SSE = 1/(1+Kp) to a unit step. For Type 1 and above, Kp = ∞, confirming zero SSE to a step. The velocity error constant Kv = lim(s→0) sG(s) gives SSE = 1/Kv to a unit ramp for Type 1 systems. The acceleration error constant Ka = lim(s→0) s²G(s) gives SSE = 1/Ka to a unit parabola for Type 2 systems. All three constants derive directly from the Final Value Theorem applied to the error signal E(s) = R(s)/(1 + G(s)).

The practical implication is that you can hit steady-state accuracy specs by either raising the system type or increasing the gain. Increasing gain for a Type 0 system reduces its step error (since SSE = 1/(1+Kp) and Kp = K·...) but can never eliminate it. Adding an integrator to the forward path bumps the system to Type 1 and eliminates step error entirely — but at the cost of reduced phase margin and potentially destabilizing the loop. This tradeoff between accuracy and stability is precisely why compensator design exists, and it leads directly into the compensation design topic this node builds toward.

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 EquationsStandard Test Signals and Input-Output AnalysisSteady-State Error: System Type and Error Constants

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