Feedback Control of Dynamic Systems, Global Edition

Höfundar: J. David Powell; Abbas F. Emami-Naeini; Christina M. Ivler (Útgáfa: 9)
Feedback Control of Dynamic Systems, Global Edition

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Feedback Control of Dynamic Systems explores fundamentals with context, case studies and a design focus. It covers what every engineer needs to know about feedback control, including concepts like stability, tracking and robustness. Comprehensive, worked-out examples in each chapter are all presented in a real-world context and with historical background. It is designed to support you equally in learning both the traditional and more modern topics of digital control.

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Útgefandi
Pearson International Content
ISBN
9781292766546
Print ISBN
9781292766522
Format
ePub
Útgáfa
9
Höfundar
J. David Powell; Abbas F. Emami-Naeini; Christina M. Ivler
Tungumál
English
Útgefið
2026-07-27
Prent takmörkun á líftíma
100
Prent takmörkun
2
Afritunar takmörkun
2

Kaflar

  • Cover
  • Cover
  • Front Matter
  • Title Page
  • Copyright
  • Dedication
  • Preface
  • Chapter 1: An Overview and Brief History of Feedback Control
  • 1: An Overview and Brief History of Feedback Control
  • 1.1: A Simple Feedback System
  • 1.2: A First Analysis of Feedback
  • 1.2.1: Open-Loop Control
  • 1.2.2: Closed-Loop Control
  • 1.3: Feedback System Fundamentals
  • 1.4: A Brief History
  • 1.4.1: Beginnings of Control Theory
  • 1.4.2: Frequency Response
  • 1.4.3: PID and On-Off Control
  • 1.4.4: Root Locus
  • 1.4.5: State-variable Design
  • 1.5: An Overview of the Book
  • 1.5.1: Chapters
  • 1.5.2: Computer Aided Design
  • 1.5.3: Scope
  • Chapter 1: Summary
  • Chapter 1: Review Questions
  • Chapter 1: Problems
  • Chapter 2: Dynamic Models
  • 2: Dynamic Models
  • 2.1: Dynamics of Mechanical Systems
  • 2.1.1: Translational Motion
  • 2.1.2: Rotational Motion
  • 2.1.3: Combined Rotation and Translation
  • 2.1.4: Complex Mechanical Systems
  • 2.1.5: Distributed Parameter Systems
  • 2.1.6: Summary: Developing Equations of Motion for Rigid Bodies
  • 2.2: Models of Electric Circuits
  • 2.3: Models of Electromechanical Systems
  • 2.3.1: Loudspeakers
  • 2.3.2: DC Motors
  • 2.3.3: AC Motors
  • 2.3.4: Gears
  • 2.4: Heat and Fluid-Flow Models
  • 2.4.1: Heat Flow
  • 2.4.2: Incompressible Fluid Flow
  • 2.4.3: Hydraulic Actuators
  • 2.5: Historical Perspective
  • Chapter 2: Summary
  • Chapter 2: Review Questions
  • Chapter 2: Problems
  • Chapter 3: Dynamic Response
  • 3: Dynamic Response
  • 3.1: Review of Laplace Transforms
  • 3.1.1: Response by Convolution
  • 3.1.2: The L_ Laplace Transform
  • 3.1.3: Properties of Laplace Transforms
  • 3.1.4: Inverse Laplace Transform by Partial-Fraction Expansion
  • 3.1.5: The Final Value Theorem
  • 3.1.6: Using Laplace Transforms to Solve Differential Equations
  • 3.1.7: Transfer Functions
  • 3.1.8: Poles and Zeros
  • 3.1.9: Linear System Analysis Using Matlab
  • 3.2: System Modeling Diagrams
  • 3.2.1: The Block Diagram
  • 3.2.2: Block-Diagram Reduction Using Matlab
  • 3.2.3: Block Diagram Reduction in Simulink
  • 3.2.4: Mason’s Rule and the Signal Flow Graph
  • 3.3: Effect of Pole Locations
  • 3.4: Time-Domain Specifications
  • 3.4.1: Rise Time
  • 3.4.2: Overshoot and Peak Time
  • 3.4.3: Settling Time
  • 3.4.4: Mapping of Design Specifications to the Complex Plane
  • 3.5: Effects of Zeros and Additional Poles
  • 3.5.1: Effects of Zeros
  • 3.5.2: Effect of an Extra Pole
  • 3.6: Stability
  • 3.6.1: Bounded Input–Bounded Output Stability
  • 3.6.2: Stability of LTI Systems
  • 3.6.3: Routh’s Stability Criterion
  • 3.7: Obtaining Models from Experimental Data: System Identification
  • 3.8: Amplitude and Time Scaling
  • 3.9: Historical Perspective
  • Chapter 3: Summary
  • Chapter 3: Review Questions
  • Chapter 3: Problems
  • Chapter 4: A First Analysis of Feedback
  • 4: A First Analysis of Feedback
  • 4.1: The Basic Equations of Control
  • 4.1.1: Stability
  • 4.1.2: Tracking
  • 4.1.3: Regulation
  • 4.1.4: Sensitivity
  • 4.2: Control of Steady-State Error to Polynomial Inputs: System Type
  • 4.2.1: System Type for Tracking
  • 4.2.2: System Type for Regulation and Disturbance Rejection
  • 4.3: The Three-Term Controller: PID Control
  • 4.3.1: Proportional Control (P)
  • 4.3.2: Integral Control (I)
  • 4.3.3: Derivative Control (D)
  • 4.3.4: Proportional Plus Integral Control (PI)
  • 4.3.5: PID Control
  • 4.3.6: Ziegler–Nichols Tuning of the PID Controller
  • 4.3.7: AMIGO Tuning Rules for PID Controllers
  • 4.3.8: SIMC Tuning Rules for PID Controllers
  • 4.4: Feedforward Control by Plant Model Inversion
  • 4.5: Introduction to Digital Control
  • 4.6: Sensitivity of Time Response to Parameter Change
  • 4.7: Historical Perspective
  • Chapter 4: Summary
  • Chapter 4: Review Questions
  • Chapter 4: Problems
  • Chapter 5: The Root-Locus Design Method
  • 5: The Root-Locus Design Method
  • 5.1: Root Locus of a Basic Feedback System
  • 5.2: Guidelines for Determining a Root Locus
  • 5.2.1: Rules for Determining a Positive (180°) Root Locus
  • 5.2.2: Summary of the Rules for Determining a Root Locus
  • 5.2.3: Selecting the Parameter Value
  • 5.3: Selected Illustrative Root Loci
  • 5.3.1: Double Integrator Plants with Various Derivative Feedback
  • 5.3.2: Double Integrator Plant with Actuator Dynamics
  • 5.3.3: Sensor Collocation Effects
  • 5.3.4: A Locus with Complex Multiple Roots
  • 5.4: Design Using Dynamic Compensation
  • 5.4.1: Design Using Lead Compensation
  • 5.4.2: Design Using Lag Compensation
  • 5.4.3: Design Using Notch Compensation
  • 5.4.4: Analog and Digital Implementations
  • 5.5: Design Examples Using the Root Locus
  • 5.5.1: Control of a Quadrotor Drone
  • 5.5.2: Control of a Mars Helicopter
  • 5.5.3: Control of a Small Airplane
  • 5.6: Extensions of the Root-Locus Method
  • 5.6.1: Rules for Plotting a Negative (0°) Root Locus
  • 5.6.2: Successive Loop Closure
  • 5.6.3: Time Delay
  • 5.7: Historical Perspective
  • Chapter 5: Summary
  • Chapter 5: Review Questions
  • Chapter 5: Problems
  • Chapter 6: The Frequency-Response Design Method
  • 6: The Frequency-Response Design Method
  • 6.1: Introduction to the Frequency Response
  • 6.1.1: Frequency Response Using Convolution
  • 6.1.2: Frequency Response Using Laplace
  • 6.1.3: Bode Plot Techniques
  • 6.1.4: Steady-State Errors
  • 6.2: Neutral Stability
  • 6.3: The Nyquist Stability Criterion
  • 6.3.1: The Argument Principle
  • 6.3.2: Application of The Argument Principle to Control Design
  • 6.4: Stability Margins
  • 6.5: Bode’s Gain–Phase Relationship
  • 6.6: Closed-Loop Frequency Response
  • 6.7: Compensation
  • 6.7.1: PD Compensation
  • 6.7.2: Lead Compensation
  • 6.7.3: PI Compensation
  • 6.7.4: Lag Compensation
  • 6.7.5: PID Compensation
  • 6.7.6: Design Considerations
  • 6.7.7: Specifications in Terms of the Sensitivity Function
  • 6.7.8: Limitations on Design in Terms of the Sensitivity Function
  • 6.8: Time Delay
  • 6.8.1: Time Delay via the Nyquist Diagram
  • 6.9: Alternative Presentation of Data
  • 6.9.1: Nichols Chart
  • 6.9.2: The Inverse Nyquist Diagram
  • 6.10: Historical Perspective
  • Chapter 6: Summary
  • Chapter 6: Review Questions
  • Chapter 6: Problems
  • Chapter 7: State-Space Design
  • 7: State-Space Design
  • 7.1: Advantages of State-Space
  • 7.2: System Description in State-Space
  • 7.3: Block Diagrams and State-Space
  • 7.4: Analysis of the State Equations
  • 7.4.1: Block Diagrams and Canonical Forms
  • 7.4.2: Dynamic Response from the State Equations
  • 7.5: Control-Law Design for Full-State Feedback
  • 7.5.1: Finding the Control Law
  • 7.5.2: Introducing the Reference Input with Full-State Feedback
  • 7.6: Selection of Pole Locations for Good Design
  • 7.6.1: Dominant Second-Order Poles
  • 7.6.2: Symmetric Root Locus (SRL)
  • 7.6.3: Comments on the Methods
  • 7.7: Estimator Design
  • 7.7.1: Full-Order Estimators
  • 7.7.2: Reduced-Order Estimators
  • 7.7.3: Estimator Pole Selection
  • 7.8: Compensator Design: Combined Control Law and Estimator
  • 7.9: Introduction of the Reference Input with the Estimator
  • 7.9.1: General Structure for the Reference Input
  • 7.9.2: Selecting the Gain
  • 7.10: Integral Control and Robust Tracking
  • 7.10.1: Integral Control
  • 7.10.2: Robust Tracking Control: The Error-Space Approach
  • 7.10.3: Model-Following Design
  • 7.10.4: The Extended Estimator
  • 7.11: Loop Transfer Recovery
  • 7.12: Direct Design with Rational Transfer Functions
  • 7.13: Design for Systems with Pure Time Delay
  • 7.14: Solution of State Equations
  • 7.16: Historical Perspective
  • Chapter 7: Summary
  • Chapter 7: Review Questions
  • Chapter 7: Problems
  • Chapter 8: Control System Design: Principles and Case Studies
  • 8: Control System Design: Principles and Case Studies
  • 8.1: An Outline of Control Systems Design
  • 8.2: Design of a Satellite’s Attitude Control
  • 8.3: Lateral and Longitudinal Control of a Boeing 747
  • 8.3.1: Yaw Damper
  • 8.3.2: Altitude-Hold Autopilot
  • 8.4: Control of the Fuel-Air Ratio in an Automotive Engine
  • 8.5: Control of a Quadrotor Drone
  • 8.6: Control of RTP Systems in Semiconductor Wafer Manufacturing
  • 8.7: Chemotaxis, or How E. Coli Swims from Trouble
  • 8.8: Design of an Autonomous Steering System for a Research Vehicle
  • 8.9: Historical Perspective
  • Chapter 8: Summary
  • Chapter 8: Review Questions
  • Chapter 8: Problems
  • Chapter 9: Digital Control
  • 9: Digital Control
  • 9.1: Digitization
  • 9.2: Dynamic Analysis of Discrete Systems
  • 9.2.1: z -Transform
  • 9.2.2: Discrete Transfer Function of a Sampled Data System
  • 9.2.3: z-Transform Inversion
  • 9.2.4: Relationship Between s and z
  • 9.2.5: Final Value Theorem
  • 9.3: Design Using Discrete Equivalents
  • 9.3.1: Tustin’s Method
  • 9.3.2: Zero-Order Hold (ZOH) Method
  • 9.3.3: Matched Pole–Zero (MPZ) Method
  • 9.3.4: Modified Matched Pole–Zero (MMPZ) Method
  • 9.3.5: Comparison of Digital Approximation Methods
  • 9.3.6: Applicability Limits of the Discrete Equivalent Design Method
  • 9.4: Hardware Characteristics
  • 9.4.1: Analog-to-Digital (A/D) Converters
  • 9.4.2: Digital-to-Analog Converters
  • 9.4.3: Anti-Alias Prefilters
  • 9.4.4: The Computer
  • 9.5: Sample-Rate Selection
  • 9.5.1: Tracking Effectiveness
  • 9.5.2: Disturbance Rejection
  • 9.5.3: Effect of Anti-Alias Prefilter
  • 9.5.4: Asynchronous Sampling
  • 9.6: Discrete Design
  • 9.6.1: Analysis Tools
  • 9.6.2: Feedback Properties
  • 9.6.3: Discrete Design Example
  • 9.6.4: Discrete Analysis of Designs
  • 9.7: Discrete State-Space Design Methods
  • 9.8: Historical Perspective
  • Chapter 9: Summary
  • Chapter 9: Review Questions
  • Chapter 9: Problems
  • Chapter 10: Nonlinear Systems
  • 10: Nonlinear Systems
  • 10.1: Introduction and Motivation: Why Study Nonlinear Systems?
  • 10.2: Analysis by Linearization
  • 10.2.1: Linearization by Small-Signal Analysis
  • 10.2.2: Linearization by Nonlinear Feedback
  • 10.2.3: Linearization by Inverse Nonlinearity
  • 10.3: Equivalent Gain Analysis Using the Root Locus
  • 10.3.1: Integrator Antiwindup
  • 10.4: Equivalent Gain Analysis Using Frequency Response: Describing Functions
  • 10.4.1: Stability Analysis Using Describing Functions
  • 10.5: Analysis and Design Based on Stability
  • 10.5.1: The Phase Plane
  • 10.5.2: Lyapunov Stability Analysis
  • 10.6: Historical Perspective
  • Chapter 10: Summary
  • Chapter 10: Review Questions
  • Chapter 10: Problems
  • Appendix A: Laplace Transforms
  • A.1: The ℒ_ Laplace Transform
  • A.1.1: Properties of Laplace Transforms
  • A.1.2: Inverse Laplace Transform by Partial-Fraction Expansion
  • A.1.3: The Initial Value Theorem
  • A.1.4: Final Value Theorem
  • Appendix B: Design Aids
  • Design Aids
  • Appendix C: Matlab Commands
  • Matlab Commands
  • Bibliography
  • Bibliography
  • Glossary