Industrial PID Controller Tuning With a Multiobjective Framework Using MATLAB 1st edition by José David Rojas, Orlando Arrieta, Ramon Vilanova ISBN 3030723100 978-3030723101

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ISBN 10: 3030723100
ISBN 13: 978-3030723101
Author: José David Rojas, Orlando Arrieta, Ramon Vilanova 

Industrial PID Controller Tuning presents a different view of the servo/regulator compromise that has been studied for a long time in industrial control research. Optimal tuning generally involves comparison of cost functions (e.g., a quadratic function of the error or a time-weighted absolute value of the error) but without taking advantage of available multi-objective optimization methods. The bookdoes make use of multi-objective optimization to account for several sources of disturbance, applying them to a more realistic problem: how to select the tuning of a controller when both servo and regulator responses are important.

The authors review the different deterministic multi-objective optimization methods. In order to ameliorate the consequences of the computational expense typically involved in their use―specifically the generation of multiple solutions among which the control engineer still has to choose―algorithms for two-degree-of-freedom PID control are implemented in MATLAB®. MATLAB code and a MATLAB-compatible program are provided for download and will help readers to adapt the ideas presented in the text for use in their own systems. Further practical guidance is offered by the inclusion of several examples of common industrial processes amenable to the use of the authors’ methods.

Researchers interested in non-heuristic approaches to controller tuning or in decision-making after a Pareto set has been established and graduate students interested in beginning a career working with PID control and/or industrial controller tuning will find this book a valuable reference and source of ideas.

Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Industrial PID Controller Tuning: With a Multiobjective Framework Using MATLAB® 1st Table of contents:

1. Introduction

2. Industrial PID Control

3. PID Controller Considerations

4. PID Controller Design

5. Multiobjective Optimization

6. Application of the Multiobjective Approach

7. PID Tuning as a Multiobjective Optimization Problem

8. Industrial Application Examples

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Tags: José David Rojas, Orlando Arrieta, Ramon Vilanova, Industrial PID, Multiobjective Framework