Control and Mechatronics

The successful construction of industrial systems requires an understanding of the various aspects of control theory. This area of engineering, like that of power electronics, is also seldom covered in depth in engineering curricula at the undergraduate level. The goal of this volume from The Industrial Electronics Handbook, Second Edition is to present many of the concepts of control in a manner that facilitates its understanding by practicing engineers or students who would like to learn about the applied aspects of control systems.

The book is divided into several sections. Section One is devoted to control system analysis, while Section 2 discusses control system design. Various techniques used for the analysis and design of control systems are described and compared. Section 3 is concerned with Estimation, Observation, and Identification, and is dedicated to the identification of the objects to be controlled. The importance of this section stems from the fact that in order to efficiently control a system, it must first be clearly identified. In an industrial environment it is typically difficult to experiment with production lines. As a result, it is imperative that good models are developed to represent these systems. This modeling aspect of control is covered in Section 4. Many modern factories have more robots than humans. Therefore, the importance of mechatronics and robotics cannot be over emphasized. The various aspects of robotics and mechatronics are described in the last section of this volume.

Preface
Acknowledgements
Editorial Board
Editors
Contributors

Part I : Control System Analysis
Chapter 1 : Nonlinear Dynamics
Chapter 2 : Basic Feedback Concept
Chapter 3 : Stability Analysis
Chapter 4 : Frequency-Domain Analysis of Relay Feedback Systems
Chapter 5 : Linear Matrix Inequalities in Automatic Control
Chapter 6 : Motion Control Issues
Chapter 7 : A New Methodology for Chatter Stability Analysis in Simultaneous Machining

Part II : Control System Design
Chapter 8 : Internal Mode Control
Chapter 9 : Dynamic Matrix Control
Chapter 10 : PID Control
Chapter 11 : Nyquist Criterion
Chapter 12 : Root Locus Method
Chapter 13 : Variable Structure Control Technique
Chapter 14 : Digital Control
Chapter 15 : Phase-Lock-Loop Based Control
Chapter 16 : Optimal Control
Chapter 17 : Time-Delay Systems
Chapter 18 : AC Servo Systems
Chapter 19 : Predictive Repetitive Control with Constraints
Chapter 20 : Backstepping Control
Chapter 21 : Sensors
Chapter 22 : Soft Computing Methodologies in Sliding Mode Control

Part III : Estimation, Observation, and Identification
Chapter 23 : Adaptive Estimation
Chapter 24 : Observers in Dynamic Engineering Systems
Chapter 25 : Disturbance Observation-Cancellation Technique
Chapter 26 : Ultrasonic Sensors
Chapter 27 : Robust Exact Observation and Identification via High-Order Sliding Modes

Part IV : Modeling and Control
Chapter 28 : Modeling for System Control
Chapter 29 : Intelligent Mechatronics and Robotics
Chapter 30 : State-Space Approach to Simulating Dynamic Systems in SPICE
Chapter 31 : Iterative Learning Control for Torque Ripple Minimization of Switched Reluctance Motor Drive
Chapter 32 : Precise Position Control of Piezo Actuator
Chapter 33 : Hardware-in-the-loop simulations

Part V : Mechatronic and Robotics
Chapter 34 : Introduction to Mechatronics Systems
Chapter 35 : Actuators in Robotics and Automation Systems
Chapter 36 : Robot Qualities
Chapter 37 : Robot Vision
Chapter 38 : Robot Path Planning
Chapter 39 : Mobile Robots
Index

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