Wang / Chai / Yoo PID and Predictive Control of Electrical Drives and Power Converters using MATLAB / Simulink

1. Auflage 2014
ISBN: 978-1-118-33947-3
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 360 Seiten, E-Book

Reihe: IEEE Press Series on Power Engineering

A timely introduction to current research on PID andpredictive control by one of the leading authors on thesubject
PID and Predictive Control of Electric Drives and PowerSupplies using MATLAB/Simulink examines the classical controlsystem strategies, such as PID control, feed-forward control andcascade control, which are widely used in current practice. The authors share their experiences in actual design andimplementation of the control systems on laboratory test-beds,taking the reader from the fundamentals through to moresophisticated design and analysis. The bookcontains sections on closed-loop performance analysis in bothfrequency domain and time domain, presented to help the designer inselection of controller parameters and validation of the controlsystem. Continuous-time model predictive control systems aredesigned for the drives and power supplies, and operationalconstraints are imposed in the design. Discrete-time model predictive control systems are designed basedon the discretization of the physical models, which will appeal toreaders who are more familiar with sampled-data control system.Soft sensors and observers will be discussed for low costimplementation. Resonant control of the electric drives andpower supply will be discussed to deal with the problems of bias insensors and unbalanced three phase AC currents.
* Brings together both classical control systems and predictivecontrol systems in a logical style from introductory through toadvanced levels
* Demonstrates how simulation and experimental results are usedto support theoretical analysis and the proposed designalgorithms
* MATLAB and Simulink tutorials are given in each chapter to showthe readers how to take the theory to applications.
* Includes MATLAB and Simulink software using xPC Target forteaching purposes
* A companion website is available
Researchers and industrial engineers; and graduate students onelectrical engineering courses will find this a valuableresource.

Autoren/Hrsg.

Wang, Liuping

Chai, Shan

Yoo, Dae

Gan, Lu

Ng, Ki

Über Autor(innen)

Liuping Wang is Professor of Control Engineering at RMIT University, Melbourne, Australia. She has been working on PID control systems and system identification for over 20 years and, together with her research group, Professor Wang has generated the research outcomes that have significantly improved the performance of computer numerical control (CNC) machines, leading to a new understanding of electric motor control and regenerative power supplies. She has published numerous articles on the subject.
Shan Chai, Dae Yoo, Lu Gan and Ki Ng are PhD students working under the supervision of Professor Wang and are part of the research team that has produced, and is producing, new approaches and new understanding of the electrical motor control and the control of regenerative power supplies.