Modern heuristics review for PID control optimization: a teaching experiment

Author

Oliveira, P. B de Moura

Author_Institution

CETAV- Centro de Estudos das Tecnologias Ambiente e Vida, Univ. de Tras-os-Montes e Alto Douro, Vila Real, Portugal

Volume

2

fYear

2005

fDate

26-29 June 2005

Firstpage

828

Abstract

A set of modern heuristic techniques is reviewed in the context of PID control structures optimization. The selected techniques are: simulated annealing, genetic algorithm, population based incremental learning algorithm, particle swarm optimization algorithm and the differential evolution algorithm. An introduction to each algorithm is provided followed by an illustrative example based in a simulation assignment of an evolutionary algorithms course. Some conclusions are presented about the effectiveness of the reviewed heuristics based on the simulation results.

Keywords

educational courses; genetic algorithms; learning (artificial intelligence); simulated annealing; teaching; three-term control; PID control optimization; differential evolution algorithm; genetic algorithm; modern heuristics review; particle swarm optimization algorithm; population based incremental learning algorithm; simulated annealing; teaching experiment; Control systems; Education; Evolutionary computation; Genetic algorithms; Heuristic algorithms; Industrial control; Modems; Process control; Simulated annealing; Three-term control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Automation, 2005. ICCA '05. International Conference on

Print_ISBN

0-7803-9137-3

Type

conf

DOI

10.1109/ICCA.2005.1528237

Filename

1528237