Application of an improving particle swarm optimization algorithm in controller parameters optimization

In this paper an improving particle swarm optimization (PSO) Algorithm of PSO based on double object function is proposed, and it is applied to the optimization of Block Diagonal Controller (BDC) parameters, which respectively adopts error absolute value and integral of error absolute value as object function that achieves on-line Optimization of controller's parameters. Comparing to conventional choosing controller's parameters according to experience, it adopts this method that can automatic optimize controller's parameters, and decreases designing difficulty of controller. The simulation results demonstrate this method can effectively tune BDC parameters, which has the traits of better capability of global search, quick convergence and better optimizing effect.