Liuping Wang - PID Control System Design and Automatic Tuning using MATLAB/Simulink

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Liuping Wang

RMIT University

Australia

This edition first published 2020

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ForRobinJiansheand all my friends

PID control systems are the fundamental building blocks of classical and modern control systems. They have been used in the majority of industrial applications from chemical process control, mechanical process control, electro-mechanical process control, aerial vehicle control to electrical drive control and power converter control. Understanding these control systems and having the capability to design and implement them are paramount to a control engineer.

There are several key reasons for the continuing applications of PID controllers.

1 Simplicity in the design and analysis. There are three parameters to be chosen in the control systems. These parameters are easily understood and tuned by engineers.

2 Simplicity in the implementation. Although the PID control systems are designed and analyzed in the continuous-time, implementation is performed in discrete-time with control signal limits imposed.

3 The majority of the physical systems in the electrical, mechanical, aerospace and civil engineering fields can be decomposed in terms of components of first order or second order systems. For these first order and second order systems, the PID controller is a natural candidate because of its simplicity in design and implementation. For chemical process control, a complex system is often approximated using a first order plus delay model and a PID controller is commonly used.