PSO based on-line optimization for {DC} motor speed control
Authors
Abstract
bstract—In this paper, an on-line optimization approachbased on particle swarm optimization (PSO) for DC motor speed
control is proposed. Here, the main idea is to design speed
controllers, discovering on-line the gains. In this work both PID
controllers and sliding mode controllers (SMC) are considered.
The main contributions are the optimization approach based on
the minimization of an objective (cost) function based on different
indexes including the Harris index, and the on-line serialization
of the parallel PSO optimization scheme. In order to show the
performance, simulation results with a nonlinear neural model
of the Feedback setup with the DC motor 63-110 are presented.