Controller Design for Industrial Applications

Arindam Mondal, Souvik Ganguli

• Publisher: Wiley-Scrivener
• Year: 2025
• Print ISBN: 9781394287079
• eBook ISBN: 9781394287093
• Edition: 1
• Topic: Design
• Subtopic: Industrial Design

Controller Design for Industrial Applications is essential for anyone looking to master the advanced techniques of intelligent controller design, enabling you to effectively tackle the complexities of modern industrial processes and optimize performance in an ever-evolving landscape.

Industrial processes are often complex and dynamic, making it challenging to design controllers that can maintain stable and optimal operation. Traditional controllers, such as PID controllers, have been widely used in industrial applications but have limitations in handling non-linear and uncertain systems. Intelligent controllers offer an alternative solution that can adapt to changing system dynamics and disturbances. The use of intelligent controllers in industrial applications has gained increasing attention in recent years, with numerous successful implementations in various fields, such as process control, robotics control, HVAC control, power systems control, and autonomous vehicle control. However, the design and implementation of intelligent controllers require careful consideration of hardware and software requirements, as well as simulation and testing procedures to ensure reliable and safe operation.

In the rapidly evolving industrial landscape, it is essential to develop advanced control techniques to enhance productivity, minimize costs, and ensure safety. Traditional control methods often struggle to handle complex systems and unpredictable environments. However, with the emergence of intelligent control techniques, there is a great opportunity to improve industrial automation and control systems. Controller Design for Industrial Applications aims to provide a comprehensive understanding of intelligent controller design for industrial applications, from theoretical concepts to practical implementation. It will cover the fundamental concepts of intelligent control theory and techniques, their application in various industrial fields, and practical implementation and design considerations.

Table of contents

• Cover
• Series Page
• Title Page
• Copyright Page
• Contents
• Preface
• Chapter 1 Fuzzy Logic Control for Industrial Applications
• Chapter 2 Artificial Neural Network for Industrial Applications
• Chapter 3 Artificial Neural Network–Based Sliding Mode Controller for a Class of Nonlinear System
• Chapter 4 Finite Control Set Model Predictive Control for Permanent Magnet Synchronous Motor Drives
• Chapter 5 Kinematic and Dynamic Modeling of Robots
• Chapter 6 Design of FUZZY-(1+PD)-FOPID Controller for Hybrid Two-Area Power System
• Chapter 7 Design of MPC-TSA Controller for Hybrid Two-Area Power System
• Chapter 8 Wide-Area Monitoring, Protection, Automation and Control (WAMPAC) System
• Chapter 9 An Efficient Smart Prepaid Interface Design for Power Industries
• Chapter 10 PV System Maximum Power Point Tracking Under Partial Shadowing Using Gray Wolf Optimization Algorithm
• Chapter 11 An Efficient Optimization Approach for Solving the Relay Coordination Problem
• Chapter 12 Intelligent Control for Energy-Efficient HVAC System Modeling and Control
• Chapter 13 Enhancing UAV Navigation in Partially Observable 2D Environments: An Optimized Obstacle Avoidance Approach
• Chapter 14 Fast Inner and Outer Dynamics Control of Multi-Rotor UAVs with Novel SIPIC and RPT Controllers Design
• Chapter 15 Type 1 Cascaded Fuzzy Logic–Based Autonomous Vehicles Control Applications
• Chapter 16 AI-Driven Electric Vehicle Integration for Sustainable Transportation
• Chapter 17 Wireless EV Charging System Design
• Index
• Also of Interest
• EULA