Análise de controle via algoritmo particle swarm optimization
Keywords: Control, inverted pendulum, particle swarm optimization, quadratic linear regulator, linear matrix inequality
AbstractMetaheuristic 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.