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Computer-Aided Control Systems Design: Practical Applications Using MATLAB® and Simulink® [Kõva köide]

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(Newcastle University, Singapore.)
  • Formaat: Hardback, 384 pages, kõrgus x laius: 234x156 mm, kaal: 680 g, 99 Tables, black and white; 441 Illustrations, black and white
  • Ilmumisaeg: 12-Dec-2012
  • Kirjastus: CRC Press Inc
  • ISBN-10: 1466568518
  • ISBN-13: 9781466568518
Teised raamatud teemal:
Computer-Aided Control Systems Design: Practical Applications Using MATLAB® and Simulink®Suurem pilt
  • Formaat: Hardback, 384 pages, kõrgus x laius: 234x156 mm, kaal: 680 g, 99 Tables, black and white; 441 Illustrations, black and white
  • Ilmumisaeg: 12-Dec-2012
  • Kirjastus: CRC Press Inc
  • ISBN-10: 1466568518
  • ISBN-13: 9781466568518
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781466568518.html
Märksõnad:
Computer-Aided Control Systems Design: Practical Applications Using MATLAB® and Simulink® supplies a solid foundation in applied control to help you bridge the gap between control theory and its real-world applications. Working from basic principles, the book delves into control systems design through the practical examples of the ALSTOM gasifier system in power stations and underwater robotic vehicles in the marine industry. It also shows how powerful software such as MATLAB® and Simulink® can aid in control systems design.







Make Control Engineering Come Alive with Computer-Aided Software

Emphasizing key aspects of the design process, the book covers the dynamic modeling, control structure design, controller design, implementation, and testing of control systems. It begins with the essential ideas of applied control engineering and a hands-on introduction to MATLAB and Simulink. It then discusses the analysis, model order reduction, and controller design for a power plant and the modeling, simulation, and control of a remotely operated vehicle (ROV) for pipeline tracking. The author explains how to obtain the ROV model and verify it by using computational fluid dynamic software before designing and implementing the control system. In addition, the book details the nonlinear subsystem modeling and linearization of the ROV at vertical plane equilibrium points. Throughout, the author delineates areas for further study. Appendices provide additional information on various simulation models and their results.







Learn How to Perform Simulations on Real Industry Systems

A step-by-step guide to computer-aided applied control design, this book supplies the knowledge to help you deal with control problems in industry. It is a valuable reference for anyone who wants a better understanding of the theory and practice of basic control systems design, analysis, and implementation.

Arvustused

"This text provides a foundation in applied control to help bridge the gap between control theory and its real-world applications. Working from basic principles, the bookdelves into control systems design through the practical examples of the ALSTOM gasifier system in power stations and underwater robotic vehicles in the marine industry. It also shows how software such as MATLAB and Simulink can aid in control systems design. Emphasizing key aspects of the design process, the book covers thedynamic modeling, control structure design, controller design, implementation, and testing of control systems. The book begins with the essential ideas of applied control engineering and an introduction to MATLAB and Simulink. The book then discusses the analysis, model order reduction, and controller design for a power plant and the modeling, simulation, and control of a remotely operated vehicle (ROV) for pipeline tracking. The book then explains how to obtain the ROV model and verify the model by using computational fluid dynamics software before designing and implementing the control system. In addition, it details the nonlinear subsystem modeling and linearization of the ROV at vertical plane equilibrium points. This book will be of interest to individuals who want a better understanding of the theory and practice of basic control systems design, analysis, and implementation." IEEE Control Systems Magazine, June 2014

"The unique feature of this book is its practical application of remotely operated vehicles and the ALSTOM gasifier, which gives insight into the mathematical procedures of MATLAB and Simulink as powerful simulation tools. ... This excellent book can be used as reference text for undergraduate or postgraduate students. ... it bridges the gap between academic theory and industrial applications. The examples are concise and yet easy to understand." Dr. Ivan CK Tam, Newcastle University, Singapore

"This book shows good practical examples on the coding used for control systems design, analysis, and implementations using MATLAB and Simulink." Rongxin Cui, Northwestern Polytechnical University, China

"This book, by providing examples in important applications for simulation-based experimentation and simulation-based experience in applied control engineering, is a valuable addition to the literature. It reflects where our knowledge is firm enough to provide mathematical description of systems as well as design, simulation, analysis and implementation of control systems. Areas where the knowledge is yet shallow are targeted for future studies. This book provides a fertile delineation of areas needing attention. It is written for those who may be already familiar with or newly exposed to the concepts associated with applied control engineering. It will be most useful for researchers, engineers, faculty, and students." From the Foreword by Dr. Tuncer Ören, University of Ottawa, Canada

Foreword ix
Preface xi
Acknowledgments xiii
Chapter 1 An Overview of Applied Control Engineering
1(12)
1.1 Historical Review
1(1)
1.2 Computer-Aided Control System Design
2(2)
1.3 Control System Fundamentals
4(4)
1.3.1 Open-Loop Systems
6(1)
1.3.2 Closed-Loop Systems
7(1)
1.4 Examples of Control Systems
8(2)
1.4.1 Ship Control System
8(1)
1.4.2 Underwater Robotic Vehicle Control System
8(1)
1.4.3 Unmanned Aerial Vehicle Control System
9(1)
1.5 Control System Design
10(3)
Chapter 2 Introduction to MATLAB and Simulink
13(38)
2.1 What Is MATLAB and Simulink?
13(1)
2.2 MATLAB Basic
13(7)
2.2.1 Vector
13(2)
2.2.2 Matrices
15(2)
2.2.3 Plot Graph
17(1)
2.2.4 Polynomials
17(2)
2.2.5 M-Files and Function
19(1)
2.3 Solving a Differential Equation
20(25)
2.3.1 MATLAB Open-Loop Transfer Function Modeling
22(3)
2.3.2 Simulink Open-Loop Transfer Function Modeling
25(4)
2.3.3 Simulink Open-Loop System Modeling
29(16)
2.4 Simulink Closed-Loop Control System Design
45(6)
2.4.1 PID Tuning Using Simulink
45(2)
2.4.2 PID Tuning Using the SISO Tool
47(4)
Chapter 3 Analysis and Control of the ALSTOM Gasifier Problem
51(74)
3.1 Gasifier System Description and Notation
51(1)
3.2 Inherent Properties Analysis
52(9)
3.3 Control Structure Design
61(3)
3.4 Gasifier System Analysis
64(8)
3.5 Model Order Reduction (MOR)
72(5)
3.6 Linear Quadratic Regulator (LQR)
77(6)
3.6.1 LQR Theory
77(4)
3.6.2 LQR Design Steps
81(1)
3.6.3 Performance Tests on LQR Design
81(2)
3.7 Linear Quadratic Gaussian (LQG)
83(4)
3.7.1 LQG Theory
83(1)
3.7.2 Loop Transfer Recovery (LTR)
84(2)
3.7.3 LQG/LTR Design Steps
86(1)
3.7.4 Performance Tests on LQG/LTR
87(1)
3.8 H-Infinity Optimization
87(18)
3.8.1 Generalized Plant
89(1)
3.8.2 H-Infinity Design Assumptions
90(1)
3.8.3 H∞ Optimization Routine
91(1)
3.8.4 Mixed Sensitivity Problem Formulation
91(2)
3.8.5 Selection of Weighting Function
93(2)
3.8.6 H-Infinity Design Steps
95(10)
3.8.7 Performance Tests on H-Infinity Design
105(1)
3.9 H2 Optimization
105(11)
3.9.1 H2 Design Steps
107(9)
3.9.2 Performance Tests on H2 Design
116(1)
3.10 Comparison of Controllers
116(4)
3.10.1 Sensitivity (S)
116(1)
3.10.2 Robust Stability (RS)
117(1)
3.10.3 MIMO System Asymptotic Stability (MIMO AS)
117(1)
3.10.4 Nyquist Type Criterion (NTC)
118(1)
3.10.5 Internal Stability (IS)
118(1)
3.10.6 Instantaneous Error (ISE)
119(1)
3.10.7 Final Value Theorem (FVT)
119(1)
3.10.8 Controller Order (CO)
120(1)
3.10.9 Condition Number (CN)
120(1)
3.11 Comparison of All Controllers
120(5)
Chapter 4 Modeling of a Remotely Operated Vehicle
125(76)
4.1 Background of the URV
125(1)
4.2 Basic Design of a ROV and Tasks Undertaken
126(3)
4.3 Need for ROV Control
129(1)
4.4 Dynamic Equation Using the Newtonian Method
130(5)
4.5 Kinematics Equations and Earth-Fixed Frame Equation
135(3)
4.6 RRC ROV Model
138(48)
4.6.1 Rigid-Body Mass and Coriolis and Centripetal Matrix
139(2)
4.6.2 Hydrodynamic Added Mass Forces
141(13)
4.6.3 Hydrodynamic Damping Forces
154(24)
4.6.4 Buoyancy and Gravitational Forces
178(4)
4.6.5 Thruster's Configuration Model
182(4)
4.7 Perturbed RRC ROV Model
186(4)
4.7.1 Perturbation Bound on M and C Matrix
188(2)
4.7.2 Perturbation Bound on D Matrix
190(1)
4.8 Verification of ROV Model
190(11)
Chapter 5 Control of a Remotely Operated Vehicle
201(76)
5.1 Nonlinear ROV Subsystem Model
201(10)
5.1.1 Station-Keeping Model
202(3)
5.1.2 Horizontal and Vertical Plane Subsystem Models
205(6)
5.2 Linear ROV Subsystem Model
211(4)
5.3 Nonlinear ROV Control Systems Design
215(40)
5.3.1 Multivariable PID Control Design
215(14)
5.3.2 Sliding-Mode Control
229(5)
5.3.3 Velocity State-Feedback Linearization
234(5)
5.3.4 Fuzzy Logic Control
239(11)
5.3.5 Cascaded System Control on the Reduced ROV Model
250(5)
5.4 Linear ROV Control Systems Design
255(22)
5.4.1 Inherent Properties of Linear ROV System
256(8)
5.4.2 LQG/LTR Controller Design
264(3)
5.4.3 H-Infinity Controller Design
267(10)
References 277(4)
Appendix A1 State-Space Matrices for ALSTOM Gasifier System (Linear) 281(16)
Appendix A2 LQR Simulation Model and Results 297(12)
Appendix A3 LQG Simulation Model 309(12)
Appendix A4 LQG/LTR Simulation Model and Results 321(12)
Appendix A5 H2 Simulation Model and Results 333(12)
Appendix A6 H∞ Simulation Model and Results 345(12)
Index 357
Dr. Cheng Siong Chin is a professional mechanical engineer with specialization in marine vehicle control systems design as well as the computer-aided engineering modeling and simulation of mechatronic systems. He worked in industry for seven years. In 2010, Dr. Chin joined Newcastle University for its BEng with honors programs in marine engineering as its first lecturer under the Singapore Institute of Technology (SIT). Dr. Chin is a member of the IET since 2001, a senior member of the IEEE since 2009, an elected executive member of the IET Control and Automation Network, and was the elected Honorary Auditor in the Singapore Branch of the IET in 2011. He is registered as a Chartered Engineer with the UK Engineering Council and as a European Engineer (EUR ING). Dr. Chin is a member of the editorial advisory board of The Mediterranean Journal of Measurement and Control and the Journal of Marine Science: Research and Development. He has published 21 international journals, 10 conference publications, and three book chapters. Dr. Chin also has three U.S. patents and two trade secrets. He is certified in Six Sigma Green Belt and Design for Six Sigma (DFSS).

For more information, see Dr. Chins profile at Newcastle University.