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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Multi-Objective Particle Swarm Optimization Design of PID Controllers
verfasst von : P. B. de Moura Oliveira, E. J. Solteiro Pires, J. Boaventura Cunha, Damir Vrančić
Erschienen in: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Verlag: Springer Berlin Heidelberg
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A novel variant of a multi-objective particle swarm optimization algorithm is reported. The proposed multi-objective particle swarm optimization algorithm is based on the maximin technique previously proposed for a multi-objective genetic algorithm. The technique is applied to optimize two types of problems: firth to a set of benchmark functions and second to the design of PID controllers regarding the classical design objectives of set-point tracking and output disturbance rejection.