Controller Tuning with Evolutionary Multiobjective Optimization: A Holistic Multiobjective Optimization Design Procedure
β Scribed by Gilberto Reynoso Meza, Xavier Blasco Ferragud, Javier Sanchis Saez, Juan Manuel Herrero DurΓ‘ (auth.)
- Publisher
- Springer International Publishing
- Year
- 2017
- Tongue
- English
- Leaves
- 228
- Series
- Intelligent Systems, Control and Automation: Science and Engineering 85
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book is devoted to Multiobjective Optimization Design (MOOD) procedures for controller tuning applications, by means of Evolutionary Multiobjective Optimization (EMO). It presents developments in tools, procedures and guidelines to facilitate this process, covering the three fundamental steps in the procedure: problem definition, optimization and decision-making. The book is divided into four parts. The first part, Fundamentals, focuses on the necessary theoretical background and provides specific tools for practitioners. The second part, Basics, examines a range of basic examples regarding the MOOD procedure for controller tuning, while the third part, Benchmarking, demonstrates how the MOOD procedure can be employed in several control engineering problems. The fourth part, Applications, is dedicated to implementing the MOOD procedure for controller tuning in real processes.
β¦ Table of Contents
Front Matter....Pages i-xiii
Front Matter....Pages 1-1
Motivation: Multiobjective Thinking in Controller Tuning....Pages 3-21
Background on Multiobjective Optimization for Controller Tuning....Pages 23-58
Tools for the Multiobjective Optimization Design Procedure....Pages 59-88
Front Matter....Pages 89-89
Controller Tuning for Univariable Processes....Pages 91-105
Controller Tuning for Multivariable Processes....Pages 107-122
Comparing Control Structures from a Multiobjective Perspective....Pages 123-144
Front Matter....Pages 145-145
The ACCβ1990 Control Benchmark: A Two-Mass-Spring System....Pages 147-157
The ABBβ2008 Control Benchmark: A Flexible Manipulator....Pages 159-172
The 2012 IFAC Control Benchmark: An Industrial Boiler Process....Pages 173-183
Front Matter....Pages 185-185
Multiobjective Optimization Design Procedure for Controller Tuning of a Peltier Cell Process....Pages 187-199
Multiobjective Optimization Design Procedure for Controller Tuning of a TRMS Process....Pages 201-213
Multiobjective Optimization Design Procedure for an Aircraftβs Flight Control System....Pages 215-227
β¦ Subjects
Control;Computational Intelligence;Computational Mathematics and Numerical Analysis
π SIMILAR VOLUMES
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<p><P>Multiobjective optimization deals with solving problems having not only one, but multiple, often conflicting, criteria. Such problems can arise in practically every field of science, engineering and business, and the need for efficient and reliable solution methods is increasing. The task is c
Evolutionary Multiobjective Optimization is a rare collection of the latest state-of-the-art theoretical research, design challenges and applications in the field of multiobjective optimization paradigms using evolutionary algorithms. It includes two introductory chapters giving all the fundamental