Contents
Preface
Chapter I : SAMPLING AND RECONSTRUCTION :
1. Introduction
2. Sampled-Data Control Systems
3. Digital-to-Analog Conversion
4. Analog-to-Digital Conversion
5. Sarapte-and-Hold Operations
6. Frequency-Domain Considerations in Sampling and Reconstruction
7. Concluding Comments
A 1.1. The Fourier Transform
Chapter II : TRANSFORM ANALYSIS OF SAMPLED-DATA SYSTEMS :
1. Introduction
2. Linear Difference Equations
3. The Pulse Response
4. The z-Transform
5. The Pulse Transfer Function
6. Block Diagram Analysis of Sampled-Data Systems
7. z-Domain Equivalents to s-Domain Compensators
8. Stability Analysis
9. Systems with Dead-Time
10. Concluding Comments
A 2.1. Short Table of Transform Pairs
Problems
Chapter III : TRANSFORM DESIGN OF DIGITAL CONTROLS :
1. Introduction
2. Design Example : Position Servo
3. Design Specifications
4. Design on the w-Plane
5. Design on the w'-Plane
6. The Digital PID Controller
7. Design on the z-Plane
8. Multivariable Controllers
9. Concluding Comments
A 3.1. Bode Plots
Problems
Chapter IV: STATE SPACE ANALYSIS OF SAMPLED-DATA SYSTEMS :
1. Introduction
2. Discrete-Time State Equations
3. Similarity Transformations
4. The Cayley-Hamilton Theorem
5. Realization of Pulse Transfer Functions
6. State Equations for Sampled-Data Systems
7. Design Example-Mixing Tank
8. Concepts of Controllability and Observability
9. Lyapunov Stability Analysis
10. Systems with Dead-Time
11. Concluding Comments
A 4.1. Selected Results from Linear Algebra
Problems
Chapter V : DESIGN OF DIGITAL CONTROLS USING STATE SPACE CONCEPTS :
1. Introduction
2. Formulation of the Optimal Control Problem
3. Optimal State Regulator
4. Use of State Regulator Results to Solve Other Optimal Control Problems
5. Eigenvalue Assignment by State Feedback
6. State Observers
7. Stochastic Optimal State Estimation
8. Concluding Comments
A 5.1. Stochastic Processes and Linear Systems
Problems
Chapter VI : SELF-TUNING CONTROL :
1. Introduction
2. The Identification Problem
3. The Principle of Least Squares
4. Recursive Least Squares Algorithm
5. Minimum-Variance Prediction
6. Minimum-Variance Control
7. Self-Tuning Regulators
8. Concluding Comments
Problems
Chapter VII : MECHANIZATION OF CONTROL Algorithms USING MICROPROCESSORS :
1. Introduction
2. General Description of Microcontrollers
3. Digital Quantization
4. Microprocessor-Based Position Control System-A Case Study
5. Concluding Comments
A 7.1. Intel 8085 CPU
A 7.2. Support Chips
Chapter VIII : MICROPROCESSOR-BASED Temperature CONTROL SYSTEM-A CASE Study :
1. Introduction
2. The Process Model
3. The Control Algorithm
4. Hardware Mechanization
5. System Software
6. Concluding Comments
A 8.1. Support Chips
Chapter IX : STEPPING MOTORS AND THMR INTERFACING TO MICROPROCESSORS :
1. In-reduction
2. Constructional Features of Stepping Motors
3. Important Parameters of Stepping Motors
4. Operational Features of Stepping Motors
5. Stepping Motor Drive Circuits
6. Interfacing of Stepping Motors to Micron, occssors
7. Microprocessor Control of a Manipulator Arm (Robot1)-A Case Study
8. Concluding Comments
A 9.1. Support Chips
Reference
List of Appendix (Appendices)
I. CACSD-COMPUTER AIDED CONTROL SYSTEM DESIGN :
1. Introduction
2. Basic Features of CACSD-Packages
3. CADPAC-An Interactive Software Package for Control System Design
II. AN OVERVIEW OF SOME MICROPROCESSORS/MICROCOMPUTERS