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Understanding Time Response for Control Systems
Aug 27, 2024
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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.
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