Controller Tuning with Evolutionary Multiobjective Optimization
-12 %

Controller Tuning with Evolutionary Multiobjective Optimization

A Holistic Multiobjective Optimization Design Procedure
 Previously published in hardcover
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ISBN-13:
9783319823171
Einband:
Previously published in hardcover
Seiten:
227
Autor:
Gilberto Reynoso Meza
Gewicht:
4196 g
Format:
235x155x mm
Serie:
.85, Intelligent Systems, Control and Automation: Science and Engineering
Sprache:
Englisch
Beschreibung:

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.
Part I Fundamentals.- Tutorial on Multiobjective Optimization Design procedure.- Review on MOOD procedure for controller tuning.- Tools for the MOOD procedure.- Part II Basics.- Controller tuning for SISO processes.- Controller tuning for MIMO processes.- Controller tuning in multidisciplinary optimization.- Part III Benchmarking.- The ACC'1992 Control Benchmark: a Two-mass-spring system.- The ABB'2008 Control Benchmark: a Flexible Manipulator.- The 2012 IFAC Control Benchmark: a Boiler Process.- Part IV Applications.- MOOD procedure for a to-be-defined process.- MOOD procedure for a Peltier process.- MOOD procedure for a Twin RotorMIMO System.
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.