PID Control for Industrial Processes
eBook - PDF

PID Control for Industrial Processes

  1. 218 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

PID Control for Industrial Processes

Book details
Table of contents
Citations

About This Book

PID Control for Industrial Processes presents a clear, multidimensional representation of proportional - integral - derivative (PID) control for both students and specialists working in the area of PID control. It mainly focuses on the theory and application of PID control in industrial processes. It incorporates recent developments in PID control technology in industrial practice. Emphasis has been given to finding the best possible approach to develop a simple and optimal solution for industrial users. This book includes several chapters that cover a broad range of topics and priority has been given to subjects that cover real-world examples and case studies. The book is focused on approaches for controller tuning, i.e., method bases on open-loop plant tests and closed-loop experiments.

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Yes, you can access PID Control for Industrial Processes by Mohammad Shamsuzzoha in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Automation in Engineering. We have over one million books available in our catalogue for you to explore.

Information

Publisher
IntechOpen
Year
2018
ISBN
9781838814014
Topic
Technology & Engineering
Subtopic
Automation in Engineering
Index
Technology & Engineering

Table of contents

  1. PID Control for Industrial Processes
  2. Contents
  3. Preface
  4. Chapter 1 Data-Based Tuning of PID Controllers: A Combined Model- Reference and VRFT Method
  5. Chapter 2 Maximum Peak-Gain Margin (Mp-GM) Tuning Method for Two Degree of Freedom PID Controller
  6. Chapter 3 Optimum PI/PID Controllers Tuning via an Evolutionary Algorithm
  7. Chapter 4 Advanced Methods of PID Controller Tuning for Specified Performance
  8. Chapter 5 PID Control for Takagi-Sugeno Fuzzy Model
  9. Chapter 6 Distillation Column
  10. Chapter 7 Constraint Handling Optimal PI Controller Design for Integrating Processes: Optimization-Based Approach for Analytical Design
  11. Chapter 8 Decoupling Control and Soft Sensor Design for an Experimental Platform
  12. Chapter 9 PID Controller Design Methods for Multi-Mass Resonance System