Description

As a valuable scientific and industrial reference, the book PID Control provides an in-depth and systematic review of predictive, derivative, and integrator (PID) controllers, which are still the most widely used control tools in various industries around the world. Despite the age of this technology, universities and research centers are always looking for new ways to optimize and fine-tune these controllers. In this book, the author has attempted to consolidate the scattered articles in this field and provide a coherent framework based on the amount of information available from the process model.

The book begins with a review of traditional technologies and gradually moves towards advanced methods. This work describes model-free methods, methods based on non-parametric models such as relay experiments, and modern systems based on fuzzy logic and genetic algorithms. The book takes a special look at complex industrial multivariable processes and nonlinear systems (such as continuous spray chemical reactors) and introduces new techniques for adjusting large errors without damaging the main controller structure.

Book Features

• Unique classification of chapters based on the quality and amount of information available from the industrial process model
• Providing controller tuning methods for nonlinear systems using error shaping mechanisms
• Using intelligent fuzzy and genetic algorithms to optimize control parameters under variable conditions
• Introducing new concepts and methods of PID control for complex multivariable processes (MIMO)
• Presenting the Subspace Identification Approach as a New Tool in Control Engineering
• Balance between academic theories and practical implementations for use by engineers in real industries

Book specifications

• Publisher: Springer
• Instructor/Author: Michael A. Johnson
• Number of pages: 559
• Number of chapters: 13
• Format: PDF

Headlines

1. PID Control Technology
2. Some PID Control Fundamentals
3. On-line Model-Free Methods
4. Automatic PID Controller Tuning – the Nonparametric Approach
5. Relay Experiments for Multivariable Systems
6. Phase-Locked Loop Methods
7. Phase-Locked Loop Methods and PID Control
8. Process Reaction Curve and Relay Methods Identification and PID Tuning
9. Fuzzy Logic and Genetic Algorithm Methods in PID Tuning
10. Tuning PID Controllers Using Subspace Identification Methods
11. Design of Multi-Loop and Multivariable PID Controllers
12. Restricted Structure Optimal Control
13. Predictive PID Control

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