The field of industrial electronics covers a plethora of problems that must be solved in industrial practice. Electronic systems control many processes that begin with the control of relatively simple devices like electric motors, through more complicated devices such as robots, to the control of entire fabrication processes. An industrial electronics engineer deals with many physical phenomena as well as the sensors that are used to measure them. Thus, the knowledge required by this type of engineer is not only
traditional electronics but also specialized electronics, for example, that required for high-power applications. The importance of electronic circuits extends well beyond their use as a final product in that they are also important building blocks in large systems, and thus the industrial electronics engineer must also possess knowledge of the areas of control and mechatronics. Since most fabrication processes are relatively complex, there is an inherent requirement for the use of communication systems that not only link the various elements of the industrial process but are also tailor-made for the specific industrial environment. Finally, the efficient control and supervision of factories require the application of intelligent systems in a hierarchical structure to address the needs of all components employed in the production process. This need is accomplished through the use of intelligent systems such as neural networks, fuzzy systems, and evolutionary methods. The Industrial Electronics Handbook addresses all
these issues and does so in five books outlined as follows:
+ 1. Fundamentals of Industrial Electronics
+ 2. Power Electronics and Motor Drives
+ 3. Control and Mechatronics
+ 4. Industrial Communication Systems
+ 5. Intelligent Systems
- This ebook consists of 39 chapters:
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 New Methodology for Chatter Stability Analysis in Simultaneous Machining
Chapter 8 Internal Model Control
Chapter 9 Dynamic Matrix Control
Chapter 10 PID Control
Chapter 11 Nyquist Criterion
Chapter 12 Root Locus Method
Chapter 13 Variable Structure Control Techniques
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
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
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 Simulation
Chapter 34 Introduction to Mechatronic 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
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