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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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.

      The book is self-contained with MATLAB/Simulink tutorials and supported with simulation and experimental results. Control system simulation and experimental implementation are emphasized in the book materials. The MATLAB real-time functions written for the use in Simulink simulations could be converted into C-codes for control system implementation with micro-controllers. For each section, there is a set of questions for us to reflect on. Some of them are easy and straightforward while others may require some thinking. At the end of each chapter, there is a set of problems for practicing the design and simulation of the control systems.

      The book is suited for readers who have completed first three years engineering studies with some basic knowledge in block diagrams and Laplace transforms.

       Liuping Wang

      Melbourne, Australia

      I wish to acknowledge the funding support from Mathworks Academic Support on the project entitled “PID Control Systems with Constraints: Design and Automatic Tuning using MATLAB/Simulink”. Particularly, I would like to thank Mr Bradley Horton from Mathworks for his help and support. I wish to thank Professors Shihua Li, Xisong Chen, Jun Yang and Dr Zhenhua Zhao in Southeast University, China, for interesting discussions on disturbance observer, during my visit to their university in 2014 and 2015. I wish to thank Dr Xi Chen and Dr Pakorn Poksawat previously at RMIT University Australia for their contributions on the automatic control of unmanned aerial vehicles.

      For valuable comments towards improvement of this book, I wish to thank Professor Antonio Visioli at the University of Brescia, Italy, Dr John Tsing, who had worked in Measurex Corp. USA as a process control engineer and was an adjunct professor at San Jose State University, USA, Dr N. Leonard Segall of Sarnia, Ontario, Canada, Dr Chow Yin Lai, Dr Lasantha Meegahapola, Dr Arash Vahidnia, Dr Nuwantha Fernando, at RMIT University, Australia. I wish to thank Michelle Dunkley, Louis Vasanth Manoharan and Tessa Edmunds from Wiley and Sons Ltd for help and support during this book project, and Dipta Maitra for the book cover design.

      I would like to thank my teaching team, Dr Robin Guan, Mr Long Tran Quang, Mr Junaid Saeed, Mr Luke McNabb and Mr Yifeng Sun, for their initiatives in teaching laboratory development. They have worked diligently to enhance students' learning experience in the subject of Advanced Control Systems at RMIT University, Australia.

       Symbols

Closed-loop polynomial
Desired closed-loop polynomial
Sampling interval
Laplace transform for output disturbance
Laplace transform for input disturbance
Laplace transform for measurement
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