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Digital Control System Analysis & Design cover

Digital Control System Analysis & Design

by Charles L. Phillips, H. Troy Nagle, Aranya Chakrabortty

4th Edition

Publisher: Pearson

(0 reviews)
Electrical Engineering

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Book Details

Print ISBN9780132938310
eText ISBN9780133496703
PublisherPearson
Publishing Year2015
Edition4th Edition
LanguageEnglish

Digital Control System Analysis & Design, 4th Edition, is a Pearson textbook that emphasizes practical aspects of designing and implementing digital control systems.

The volume addresses core topics in discrete-time controls, ranging from sampling and reconstruction to system time response and closed-loop behavior. It covers foundational tools such as the z-transform alongside methods for stability analysis and digital controller design.

Designed for a one-semester or two-quarter senior-level course in digital or discrete-time controls, the text also serves as a reference for practicing engineers. Simple physical systems introduced early in the book are reused in later chapters to illuminate more advanced material.

Table of Contents

  1. Chapter 1: Introduction

    • • Overview
    • • Digital Control System
    • • The Control Problem
    • • Satellite Model
    • • Servomotor System Model
    • • Antenna Pointing System
    • • Robotic Control System
    • • Temperature Control System
    • • Single-Machine Infinite Bus Power System
    • • Summary
    • • References • Problems
  2. Chapter 2: discrete-time systems and the z-transform

    • • Introduction
    • • Discrete-Time Systems
    • • Transform Methods
    • • Properties of the z-Transform
    • • Addition and Subtraction
    • • Multiplication by a Constant
    • • Real Translation
    • • Complex Translation
    • • Initial Value
    • • Final Value
    • • Finding z-Transforms
    • • Solution of Difference Equations
    • • The Inverse z-Transform
    • • Power Series Method
    • • Partial-Fraction Expansion Method
    • • Inversion-Formula Method
    • • Discrete Convolution
    • • Simulation Diagrams and Flow Graphs
    • • State Variables
    • • Other State-Variable Formulations
    • • Transfer Functions
    • • Solutions of the State Equations
    • • Recursive Solution
    • • z-Transform Method
    • • Numerical Method via Digital Computer
    • • Properties of the State Transition Matrix
    • • Linear Time-Varying Systems
    • • Summary
    • • References and Further Readings • Problems
  3. Chapter 3: sampling and reconstruction

    • • Introduction
    • • Sampled-Data Control Systems
    • • The Ideal Sampler
    • • Evaluation of E*(S)
    • • Results from the Fourier Transform
    • • Properties of E*(S)
    • • Data Reconstruction
    • • Zero-Order Hold
    • • First-Order Hold
    • • Fractional-Order Holds
    • • Summary
    • • References and Further Readings • Problems
  4. Chapter 4: open-loop discrete-time systems

    • • Introduction
    • • The Relationship Between E(Z) and E*(S)
    • • The Pulse Transfer Function
    • • Open-Loop Systems Containing Digital Filters
    • • The Modified z-Transform
    • • Systems with Time Delays
    • • Nonsynchronous Sampling
    • • State-Variable Models
    • • Review of Continuous-Time State Variables
    • • Discrete State Equations
    • • Practical Calculations
    • • Summary
    • • References and Further Readings • Problems
  5. Chapter 5: closed-loop systems

    • • Introduction
    • • Preliminary Concepts
    • • Derivation Procedure
    • • State-Variable Models
    • • Summary
    • • References and Further Readings • Problems
  6. Chapter 6: system time-response characteristics

    • • Introduction
    • • System Time Response
    • • System Characteristic Equation
    • • Mapping the s-Plane into the z-Plane
    • • Steady-State Accuracy
    • • Simulation
    • • Control Software
    • • Summary
    • • References and Further Readings • Problems
  7. Chapter 7: stability analysis techniques

    • • Introduction
    • • Stability
    • • Bilinear Transformation
    • • The Routh-Hurwitz Criterion
    • • Jury’s Stability Test
    • • Root Locus
    • • The Nyquist Criterion
    • • Bode Diagram
    • • Interpretation of the Frequency Response
    • • Closed-Loop Frequency Response
    • • Summary
    • • References and Further Readings • Problems
  8. Chapter 8: digital controller design

    • • Introduction
    • • Control System Specifications
    • • Steady-State Accuracy
    • • Transient Response
    • • Relative Stability
    • • Sensitivity
    • • Disturbance Rejection
    • • Control Effort
    • • Compensation
    • • Phase-Lag Compensation
    • • Phase-Lead Compensation
    • • Phase-Lead Design Procedure
    • • Lag-Lead Compensation
    • • Integration and Differentiation Filters
    • • PID Controllers
    • • PID Controller Design
    • • Design by Root Locus
    • • Summary
    • • References and Further Readings • Problems
  9. Chapter 9: pole-assignment design and state estImatIon

    • • Introduction
    • • Pole Assignment
    • • State Estimation
    • • Observer Model
    • • Errors in Estimation
    • • Error Dynamics
    • • Controller Transfer Function
    • • Closed-Loop Characteristic Equation
    • • Closed-Loop State Equations
    • • Reduced-Order Observers
    • • Current Observers
    • • Controllability and Observability
    • • Systems with Inputs
    • • Summary
    • • References and Further Readings • Problems
  10. Chapter 10: system identification of discrete-time systems

    • • Introduction
    • • Identification of Static Systems
    • • Identification of Dynamic Systems
    • • Black-Box Identification
    • • Least-Squares System Identification
    • • Estimating Transfer Functions with Partly Known Poles and Zeros
    • • Recursive Least-Squares System Identification
    • • Practical Factors for Identification
    • • Choice of Input
    • • Choice of Sampling Frequency
    • • Choice of Signal Scaling
    • • Summary
    • • References and Further Readings • Problems
  11. Chapter 11: linear quadratic optimal control

    • • Introduction
    • • The Quadratic Cost Function
    • • The Principle of Optimality
    • • Linear Quadratic Optimal Control
    • • The Minimum Principle
    • • Steady-State Optimal Control
    • • Optimal State Estimation–Kalman Filters
    • • Least-Squares Minimization
    • • Summary
    • • References and Further Readings • Problems
  12. Chapter 12: case studies

    • • Introduction
    • • Servomotor System
    • • System Model
    • • Design
    • • Environmental Chamber Control System
    • • Temperature Control System
    • • Aircraft Landing System
    • • Plant Model
    • • Neonatal Fractional Inspired Oxygen
    • • Plant Transfer Function
    • • Taube’s PID Controller
    • • MATLAB pidtool PIDF Controllers
    • • Topology Identification in Electric Power System Models
    • • References
  13. Chapter Appendix I: Design Equations

  14. Chapter Appendix II: Mason’s Gain Formula

  15. Chapter Appendix III: Evaluation of E*(s)

  16. Chapter Appendix IV: Review of Matrices

  17. Chapter Appendix V: The Laplace Transform

  18. Chapter Appendix VI: z-Transform Tables

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