Difference between revisions of "PID Control"

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== Textbook Contents ==
== Textbook Contents ==
{{am05pdf|am07-pid|14Sep07|PID Control|}}
{{am05pdf|am08-pid|30Jan08|PID Control|}}
* 1. Introduction
* 1. Introduction
* 2. The PID Controller
* 2. The PID Controller

Revision as of 21:45, 30 January 2008

Prev: Frequency Domain Analysis Chapter 10 - PID Control Next: Frequency Domain Design

This chapter describes the use of proportional integral derivative (PID) feedback for control systems design. We discuss the basic concepts behind PID control and the methods for choosing the PID gains.

Textbook Contents

PID Control (pdf, 30Jan08)

  • 1. Introduction
  • 2. The PID Controller
  • 3. PID Variations
  • 4. PID Tuning (Ziegler Nichols)
  • 5. Implementation
  • 6. Further Reading
  • 7. Exercises

Lecture Materials

Supplemental Information

Chapter Summary

This chapter describes the design and use of PID (proportional-integral-derivative) control:

  1. The basic PID controller as the form


    where is the control signal and is the control error. The control signal is thus a sum of three terms: a proportional term that is proportional to the error, an integral term that is proportional to the integral of the error, and a derivative term that is proportional to the derivative of the error.


  2. Integral action guarantees that the process output agrees with the reference in steady state and provides an alternative to including a feedforward term for tracking a constant reference input. Integral action can be implemented using automatic reset, where the output of a proportional controller is fed back to its input through a low pass filter:


  3. Derivative action provides a method for predictive action. The input-output relation of a controller with proportional and derivative action is


    where is the derivative time constant. The action of a controller with proportional and derivative action can be interpreted as if the control is made proportional to the \emph{predicted} process output, where the prediction is made by extrapolating the error time units into the future using the tangent to the error curve.


Frequently Asked Questions

Additional Information