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

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


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       Liuping Wang

      RMIT University

      Australia

      © 2020 John Wiley & Sons Ltd

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      The right of Liuping Wang to be identified as the author of this work has been asserted in accordance with law.

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      MATLAB® is a trademark of The MathWorks, Inc. and is used with permission. The MathWorks does not warrant the accuracy of the text or exercises in this book. This book's use or discussion of MATLAB® software or related products does not constitute endorsement or sponsorship by The MathWorks of a particular pedagogical approach or particular use of the MATLAB® software.

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      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


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