Particle swarm optimisation-based PID controller tuning for static power converters
by O. Tolga Altinoz; Hamit Erdem
International Journal of Power Electronics (IJPELEC), Vol. 7, No. 1/2, 2015

Abstract: PID controllers have been widely used to control many systems. Despite the simplicity and wide usage of these controllers, determination of the controller parameters is a major problem in the control field. These parameters have a great inuence on the controllers performance. This paper presents an alternative way of parameter determination for PID controllers to control static power converters. The particle swarm optimisation (PSO) algorithm was used to obtain optimal proportional-integral derivative (PID) controller parameters for voltage regulation of a DC-DC Buck converter. Firstly, the mathematical model of the converter was obtained and the controller parameter was optimised via different types of PSO algorithms, and the algorithm which produced the best performance, is selected as the optimisation algorithm. Secondly, the performance of the optimised controller was compared with the classical method, and finally the performance of the optimised (tuned) controller under line and load variations was evaluated by hardware implementation. The controller design, the optimisation procedure, and the controller performance analysis approaches are presented in detail.

Online publication date: Sun, 16-Aug-2015

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