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Understanding Time Response for Control Systems

Aug 27, 2024

Time Response Specifications Lecture Notes

Overview

  • Focus on Time Response Specifications for control systems
  • Previous topics included response of first and second order systems to signals, steady state error, and damping effects

Key Concepts

System Response Types

  • First-order Systems: Analyze steady-state error
  • Second-order Systems: Examine response variations with damping (under-damped, critically damped, over-damped)

Design Specifications

  • Desired Response Example:
    • Target a value (e.g., temperature set to 24 degrees)
  • System Response Expectations:
    • Instantaneous response may not be feasible; acceptable to overshoot or oscillate
    • Analyzing speed to reach desired value and potential overshoot

Step Response Analysis

  • Focus on step response for simplicity
  • Key metrics to quantify:
    • Delay Time (td): Time to reach 50% of final value the first time
    • Rise Time (tr): Time to rise from 10% to 90% of final value (or 0 to peak for under-damped systems)
    • Peak Time (tp): Time to reach peak value
    • Peak Overshoot (Mp): Percentage deviation from steady-state value at peak
    • Settling Time (ts): Time to remain within a specified tolerance band (2% or 5%) of final value

Second Order Underdamped System

  • Transfer function: ( G(s) = \frac{\omega_n^2}{s^2 + 2\zeta\omega_n s + \omega_n^2} )
  • Rise Time (tr): Calculated using the damped natural frequency ( \omega_d )
  • Peak Time (tp): Derived from calculus by setting the derivative to 0
  • Peak Overshoot (Mp): Exponential function of damping ratio ( \zeta )

Settling Time

  • Determined based on time constant ( \tau )
  • For 2% tolerance: ( ts = \frac{4}{\zeta \omega_n} )
  • For 5% tolerance: ( ts = \frac{3}{\zeta \omega_n} )

System Behavior

  • Damping Ratio (( \zeta )) Effects:
    • ( \zeta = 0 ): Oscillatory response, infinite settling time
    • Higher ( \zeta ): Faster settling time and reduced peak overshoot

Applications of Damping

  • Over-damped Systems:
    • Example: Tap shut-off valves, automatic door closers
  • Critically Damped Systems:
    • Example: Elevator mechanisms, firearms triggers
  • Under-damped Systems:
    • Example: String instruments, voltmeters

Steady State Error Analysis

  • Basics: Difference between desired and actual output over time
  • Error Constants:
    • Position Error Constant (Kp): Defined for step inputs
    • Velocity Error Constant (Kv): Defined for ramp inputs
    • Acceleration Error Constant (Ka): Defined for parabolic inputs

System Type and Steady State Error

  • Type 0 System: Constant position error, infinite velocity and acceleration error
  • Type 1 System: Zero position error, constant velocity error, infinite acceleration error
  • Type 2 System: Zero position and velocity errors, finite acceleration error

Summary

  • Discussed system types, performance metrics, and steady state errors
  • Next lecture: Stability definitions and analysis using transfer functions and Routh-Hurwitz criteria.