Particle swarm optimization in an online adaptive controller
Ver/ Abrir
Identificadores
URI: http://hdl.handle.net/10902/22726Registro completo
Mostrar el registro completo DCAutoría
Riloba Pereda, ErikFecha
2021-10-01Director/es
Derechos
© Erik Riloba Pereda
Palabras clave
Particle swarm optimization
PSO algorithm
Non-linear controller
Neural network
Resumen/Abstract
ABSTRACT: This bachellor thesis presents a particle swarm optimization (PSO) algorithm in MatLab language to check its behavior in the velocity controller of a robotic arm, to demonstrate that this type of algorithm can be used in dynamic and uncertain environments. The robot only has one degree of freedom. Starting from the previous work provided by in [7] and [8] we will be able to compare the behavior of this algorithm with that of a PI controller.