Difference between revisions of "PID Control"

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{{Chapter
 
{{Chapter
 
|Chapter number=11
 
|Chapter number=11
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|Short name=pid
 
|Previous chapter=Frequency Domain Analysis
 
|Previous chapter=Frequency Domain Analysis
|Next chapter=Frequency Domain Synthesis
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|Next chapter=Frequency Domain Design
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|First edition URL=https://www.cds.caltech.edu/~murray/amwiki/index.php?title=PID_Control#Frequently_Asked_Questions
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|Chapter summary=Proportional-integral-derivative (PID) control is by far the most common way of using feedback in engineering systems. In this chapter we present the basic properties of PID control and the methods for choosing the parameters of the controllers. We also analyze the effects of actuator saturation, an important feature of many feedback systems, and describe methods for compensating for it. Finally, we discuss the implementation of PID controllers as an example of how to implement feedback control systems using analog or digital computation.
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|Chapter contents=# Basic Control Functions
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# Simple Controllers for Complex Systems
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# PID Tuning
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#* Ziegler--Nichols' Tuning
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#* Tuning Based on the FOTD Model
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#* Relay Feedback
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# Integral Windup
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#* Avoiding Windup
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#* Manual Control and Tracking
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#* Anti-Windup for General Controllers
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# Implementation
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#* Filtering the Derivative
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#* Setpoint Weighting
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#* Implementation Based on Operational Amplifiers
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#* Computer Implementation
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# Further Reading
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:: Exercises
 
}}
 
}}

Latest revision as of 21:35, 28 August 2021

Prev: Frequency Domain Analysis Chapter 11 - PID Control Next: Frequency Domain Design
Pid-firstpage.png

Proportional-integral-derivative (PID) control is by far the most common way of using feedback in engineering systems. In this chapter we present the basic properties of PID control and the methods for choosing the parameters of the controllers. We also analyze the effects of actuator saturation, an important feature of many feedback systems, and describe methods for compensating for it. Finally, we discuss the implementation of PID controllers as an example of how to implement feedback control systems using analog or digital computation.