Steady-State Analysis of Control Systems
Steady-State Analysis of Control Systems
A system’s steady-state error (SSE) measures the difference between the desired input and the actual output as . It depends on the system type (number of pure integrators in the open-loop transfer function) and the error constants.
1. System Types and Steady-State Error
Type 0 system (no integrator in open-loop transfer function):
Step input → finite error
Ramp input → infinite error
Parabolic input → infinite error
Type 1 system (one integrator):
Step input → zero error
Ramp input → finite error
Parabolic input → infinite error
Type 2 system (two integrators):
Step input → zero error
Ramp input → zero error
Parabolic input → finite error
2. Steady-State Error Constants
These constants quantify system accuracy for different inputs:
Position Constant ()
Steady-state error for step input:
Velocity Constant ()
Steady-state error for ramp input:
Acceleration Constant ()
Steady-state error for parabolic input:
Simple Numerical Example
Given: Open-loop transfer function:
System type: One integrator → Type 1 system.
Position constant:
Velocity constant:
Acceleration constant:
Error Constants Recap
Position constant () → step input accuracy
Velocity constant () → ramp input accuracy
Acceleration constant () → parabolic input accuracy
Simple Numerical Illustration
Given:
System type → Type 1 (one integrator).
Step input:
Ramp input:
Parabolic input:
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