Modern control engineering
著者
書誌事項
Modern control engineering
Pearson, c2010
5th ed., international ed
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注記
Includes bibliographical references (p. 892-895) and index
"Pearson international edition"--Back cover
内容説明・目次
内容説明
For senior or graduate-level students taking a first course in Control Theory (in departments of Mechanical, Electrical, Aerospace, and Chemical Engineering).
A comprehensive, senior-level textbook for control engineering.
Ogata's Modern Control Engineering, 5/e, offers the comprehensive coverage of continuous-time control systems that all senior students must have, including frequency response approach, root-locus approach, and state-space approach to analysis and design of control systems. The text provides a gradual development of control theory, shows how to solve all computational problems with MATLAB, and avoids highly mathematical arguments. A wealth of examples and worked problems are featured throughout the text.
The new edition includes improved coverage of Root-Locus Analysis (Chapter 6) and Frequency-Response Analysis (Chapter 8). The author has also updated and revised many of the worked examples and end-of-chapter problems. This text is ideal for control systems engineers.
目次
Contents
Preface
Chapter 1 Introduction to Control Systems
1-1 Introduction
1-2 Examples of Control Systems
1-3 Closed-Loop Control versus Open-Loop Control
1-4 Outline of the Book
Chapter 2 Mathematical Modeling of Control Systems
2-1 Introduction
2-2 Transfer Function and impulse Response Function
2-3 Atomatic Control Systems
2-4 Modeling in state space
2-5 State-Space Representation of Scalar Differential Equation System
2-6 Transformation of Mathematical models with MATLAB
2-7 Linearization of Nonlinear Mathematical Models
Example Problems and Solutions Problems
Chapter 3 Mathematical Modeling of Mechanical Systems and Electrical Systems
3-1 Introduction
3-2 Mathematical Modeling of Mechanical Systems
3-3 Mathematical Modeling of Electrical Systems
Example Problems and Solutions Problems
Chapter 4 Mathematical Modeling of Fluid Systems
and Thermal Systems
4-1 Introduction 152
4-2 Liquid-Level Systems
4-3 Pneumatic Systems
4-4 Hydraulic Systems
4-5 Thermal Systems
Example Problems and Solutions Problems
Chapter 5 Transient and Steady-State Response Analyses
5-1 Introduction
5-2 First-Order Systems
5-3 Second-Order Systems
5-4 Higher Order Systems
5-5 Transient-Response Analysis with MATLAB
5-6 Routh's Stability Criterion
5-7 Effects of Integral and Derivative Control Actions on System
Performance
5-8 Steady-State Errors in Unity-Feedback Control Systems
Example Problems and Solutions Problems
Chapter 6 Control Systems Analysis and design by the Root-Locus Method
6-1 Introduction
6-2 Root-Locus Plots
6-3 plotting Root Loci with MATLAB
6-4 Root-Locus Plots of Positive Feedback Systems
6-5 Root-Locus Approach to control Systems Design
6-6 Lead Compensation
6-7 Lag Compensation
6-8 Lag-Lead Compensation
Example Problems and Solutions Problems
Chapter 7 Control Systems Analysis and Design by the Frequency Response Method
7-1 Introduction
7-2 Bode Digrams
7-3 Polar Plots
7-4 Log-Magnitude-versus-Phase plots
7-5 Nyquist Stability Criterion
7-6 Stability Analysis
7-7 Relative Stability Analysis
7-8 Closed-Loop Frequency Response of Unity-feedback Systems
7-9 Experimental Determination of Transfer functions
7-10 Control Systems design by Frequency Response Approach
7-11 Lead Compensation
7-12 Lag Compensation
7-13 Lag-Lead Compensation
Example Problems and Solutions Problems
Chapter 8 PID Controllers and Modified PID Controllers
8-1 Introduction
8-2 Ziegler- Nichols Rules for tuning PID controllers
8-3 Design of PID Controllers with Frequency Response Approach
8-4 Design of PID Controllers with Computational Optimization Approach
8-5 Modification of PID Control Schemes
8-6 Two-Degrees-of-freedom PID Control Schemes
8-7 Zero Placement Approach to Improve Response
Example Problems and Solutions Problems
Chapter 9 Control Systems Analysis in State Space
9-1 Introduction
9-2 State-space Representations of Transfer-Function Systems
9-3 Transformation of System Models with MATLAB
9-4 Solving the Time-Invariant State Equation
9-5 Some Useful Results in vector-Matrix Analysis
9-6 Controllability
9-7 Observability
Example Problems and Solutions Problems
Chapter 10 Control Systems Design of in State Space
10-1 Introduction
10-2 Pole Placement
10-3 Solving Pole-Placement Problems with MATLAB
10-4 Design of Servo Systems
10-5 State Observers
10-6 Design of Regulator Systems with Observers
10-7 Design of Control Systems with Observers
10-8 Quadratic Optimal Regulator Systems
10-9 Robust Control Solutions
Example Problems and Solutions Problems
Appendix A
Appendix B
Appendix C
References
Index
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