Multiobjective tuning of robust PID controllers using evolutionary algorithms

Authors:
J. M. Herrero;X. Blasco;M. Martínez;J. Sanchis
Affiliations:
Department of Systems Engineering and Control, Polytechnic University of Valencia, Spain;Department of Systems Engineering and Control, Polytechnic University of Valencia, Spain;Department of Systems Engineering and Control, Polytechnic University of Valencia, Spain;Department of Systems Engineering and Control, Polytechnic University of Valencia, Spain
Venue:
Evo'08 Proceedings of the 2008 conference on Applications of evolutionary computing
Year:
2008

Citing 4
Cited 1

Modern Control Engineering

Modern Control Engineering
Evolutionary Algorithms for Solving Multi-Objective Problems

Evolutionary Algorithms for Solving Multi-Objective Problems
Combining convergence and diversity in evolutionary multiobjective optimization

Evolutionary Computation
Comparing different approaches to model error modeling in robust identification

Automatica (Journal of IFAC)

Multi-objective evolutionary design of robust controllers on the grid

Engineering Applications of Artificial Intelligence

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Abstract

In this article a new procedure to tune robust PID controllers is presented. To tune the controller parameters a multiobjective optimization problem is formulated so the designer can consider conflicting objectives simultaneously without establishing any prior preference. Moreover model uncertainty, represented by a set of possible models, is considered. The multiobjective problem is solved with a specific evolutionary algorithm (∉-MOGA). Finally, an application to a non-linear thermal process is presented to illustrate the technique.