Análise de controle via algoritmo particle swarm optimization

Diogo C. J. Karmouche; Camilo Rocha Araujo; Eduardo Preto; Gustavo Luiz C. M. de Abreu

doi:10.20906/sbai.v1i1.2579

Diogo C. J. Karmouche Universidade Estadual Paulista - UNESP, FEIS, Dep. de Engenharia Mecânica, Ilha Solteira-SP
Camilo Rocha Araujo Universidade Estadual Paulista - UNESP, FEIS, Dep. de Engenharia Mecânica, Ilha Solteira-SP
Eduardo Preto Universidade Estadual Paulista - UNESP, FEIS, Dep. de Engenharia Mecânica, Ilha Solteira-SP
Gustavo Luiz C. M. de Abreu Universidade Estadual Paulista - UNESP, FEIS, Dep. de Engenharia Mecânica, Ilha Solteira-SP

DOI: https://doi.org/10.20906/sbai.v1i1.2579

Keywords: Control, inverted pendulum, particle swarm optimization, quadratic linear regulator, linear matrix inequality

Abstract

Metaheuristic algorithms have become popular lately as an optimization method due to their similarity to natural adaptation events. In this context, such algorithms have the ability to cover several areas, in which for control systems such algorithms present a new way of developing and adapting control laws that are adapted and improved for different situations in which the dynamic system can be found. This work aims to present the metaheuristic algorithm particle swarm optimization in which three populations of gains, generated in different ways, are optimized by the algorithm and adapted by the same for different situations of parameters of the analyzed system.