Modern Control Engineering / Edition 2

Modern Control Engineering / Edition 2

by Katsuhiko Ogata
     
 

ISBN-10: 0135891280

ISBN-13: 9780135891285

Pub. Date: 11/13/1990

Publisher: Prentice Hall Professional Technical Reference

This comprehensive treatment of the analysis and design of continuous-time control systems provides a gradual development of control theory—and shows how to solve all computational problems with MATLAB. It avoids highly mathematical arguments, and features an abundance of examples and worked problems throughout the book. Chapter

Overview

This comprehensive treatment of the analysis and design of continuous-time control systems provides a gradual development of control theory—and shows how to solve all computational problems with MATLAB. It avoids highly mathematical arguments, and features an abundance of examples and worked problems throughout the book. Chapter topics include the Laplace transform; mathematical modeling of mechanical systems, electrical systems, fluid systems, and thermal systems; transient and steady-state-response analyses, root-locus analysis and control systems design by the root-locus method; frequency-response analysis and control systems design by the frequency-response; two-degrees-of-freedom control; state space analysis of control systems and design of control systems in state space.

Product Details

ISBN-13:
9780135891285
Publisher:
Prentice Hall Professional Technical Reference
Publication date:
11/13/1990
Series:
Electrical Engineering Series
Edition description:
2nd ed
Pages:
960
Product dimensions:
4.33(w) x 9.45(h) x (d)

Table of Contents

(NOTE: Each chapter begins with Introduction and concludes with Example Problems and Solutions and Problems.)
1. Introduction to Control Systems.
Examples of Control Systems. Closed-Loop Control Versus Open-Loop Control. Outline of the Book.

2. The Laplace Transform.
Review of Complex Variables and Complex Functions. Laplace Transformation. Laplace Transform Theorems. Inverse Laplace Transformation. Partial-Fraction Expansion with MATLAB. Solving Linear, Time-Invariant, Differential Equations.

3. Mathematical Modeling of Dynamic Systems.
Transfer Function and Impulse-Response Function. Automatic Control Systems. Modeling in State Space. State-Space Representation of Dynamic Systems. Transformation of Mathematical Models with MATLAB. Mechanical Systems. Electrical and Electronic Systems. Signal Flow Graphs. Linearization of Nonlinear Mathematical Models.

4. Mathematical Modeling of Fluid Systems and Thermal Systems.
Liquid-Level Systems. Pneumatic Systems. Hydraulic Systems. Thermal Systems.

5. Transient and Steady-State Response Analyses.
First-Order Systems. Second-Order Systems. Higher-Order Systems. Transient-Response Analysis with MATLAB. An Example Problem Solved with MATLAB. Routh's Stability Criterion. Effects of Integral and Derivative Control Actions on System Performance. Steady-State Errors in Unity-Feedback Control Systems.

6. Root-LocusAnalysis.
Root-Locus Plots. Summary of General Rules for Constructing Root Loci. Root-Locus Plots with MATLAB. Positive Feedback Systems. Conditionally Stable Systems. Root Loci for Systems with Transport Lag.

7. Control Systems Design by the Root-Locus Method.
Preliminary Design Considerations. Lead Composition. Lag Compensation. Lag-Lead Compensation. Parallel Compensation.

8. Frequency-Response Analysis.
Bode Diagrams. Plotting Bode Diagrams with MATLAB. Polar Plots. Drawing Nyquist Plots with MATLAB. Log-Magnitude Versus Phase Plots. Nyquist Stability Criterion. Stability Analysis. Relative Stability. Closed-Loop Frequency Response of Unity-Feedback Systems. Experimental Determination of Transfer Functions.

9. Control Systems Design by the Frequency Response.
Lead Composition. Lag Compensation. Lag-Lead Composition. Concluding Comments.

10. PID Controls and Two-Degrees-of-Freedom Control Systems.
Tuning Rules for PID Controllers. Computational Approach to Obtain Optimal Sets of Parameter Values. Modifications of PID Control Schemes. Two-Degrees-of-Freedom Control. Zero Placement Approach to Improve Response Characteristics.

11. Analysis of Control Systems in State Space.
State-Space Representations of Transfer-Function Systems. Transformation of System Models with MATLAB. Solving the Time-Invariant State Equation. Some Useful Results in Vector-Matrix Analysis. Controllability. Observability.

12. Design of Control Systems in State Space.
Pole Placement. Solving Pole-Placement Problems with MATLAB. Design of Servo Systems. State Observers. Design of Regulator Systems with Observers. Design of Control Systems with Observers. Quadratic Optimal Regulator Systems.

Appendix: Background Materials Necessary for Effective Use of MATLAB.
References.
Index.

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