The Industrial Electronics Handbook, Second Edition combines traditional and newer, more specialized knowledge that will help industrial electronics engineers develop practical solutions for the design and implementation of high-power applications. Embracing the broad technological scope of the field, this collection explores fundamental areas, including analog and digital circuits, electronics, electromagnetic machines, signal processing, and industrial control and communications systems. It also facilitates the use of intelligent systems—such as neural networks, fuzzy systems, and evolutionary methods—in terms of a hierarchical structure that makes factory control and supervision more efficient by addressing the needs of all production components.
Enhancing its value, this fully updated collection presents research and global trends as published in the IEEE Transactions on Industrial Electronics Journal, one of the largest and most respected publications in the field. Control and Mechatronics presents concepts of control theory in a way that makes them easily understandable and practically useful for engineers or students working with control system applications. Focusing more on practical applications than on mathematics, this book avoids typical theorems and proofs and instead uses plain language and useful examples to:
- Concentrate on control system analysis and design, comparing various techniques
- Cover estimation, observation, and identification of the objects to be controlled—to ensure accurate system models before production
- Explore the various aspects of robotics and mechatronics
Other volumes in the set:
- Fundamentals of Industrial Electronics
- Power Electronics and Motor Drives
- Industrial Communication Systems
- Intelligent Systems
Control System Analysis
Nonlinear Dynamics
Basic Feedback Concept
Stability Analysis
Frequency-domain analysis of relay feedback systems
Linear Matrix Inequalities in Automatic Control
Motion Control Issues
A New Methodology for Chatter Stability Analysis in Simultaneous Machining
Control System Design
Internal Mode Control
Dynamic Matrix Control
PID Control
The Nyquist Criterion
The Root Locus Method
Variable Structure Control Technique
Digital Control
Phase-Lock-Loop Based Control
Optimal Control
Time-Delay Systems
Terminal Sliding Mode Control of Permanent Magnet Synchronous Motors
Predictive Repetitive Control with Constraints
Backstepping Control
Sensors
Soft Computing Methodologies in SMC
Estimation, Observation, and Identification
Adaptive Estimation
Observers in Dynamic Engineering Systems
Disturbance Observation-Cancellation Technique
Ultrasonic Sensors
Observation and Identication via HOSM
Modeling and Control
Modeling for System Control
Intelligent Mechatronics and Robotics
A State-Space Approach to Simulating Dynamic Systems in SPICE
Iterative Learning Control for Torque Ripple Minimization of Switched Reluctance Motor Drive
Precise Position Control of Piezo Actuator
Hardware-in-the-loop simulations
Mechatronic and Robotics
Introduction to Mechatronics Systems
Actuators in Robotics and Automation Systems
Robot Qualities
Robot Vision
Robot Path Planning
Mobile Robots
Biography
Bodgan Wilamowski, J. David Irwin
