Cooperative Multi Swarm Optimization with an Intelligent Broadcaster for Pid Controller Design

Particle swarm optimization (PSO) is a very efficient optimization tool for solving many scientific and engineering problems. In this paper, an intelligent broadcaster controlled co-operative multi-swarm PSO (IBC-MPSO) has been proposed which improves the fitness and robustness of the PSO technique. The multi-swarm approach with a novel broadcasting mechanism provides diversification in the searching and the involvement of neighborhood operator improves the exploitation of searching of the swarm. The co-operative methodology along with an intelligent broadcaster as a whole achieves good accuracy of the optimization result for the numerical problems. The efficiency of IBC-MPSO optimization technique is comprehensively evaluated for standard popular benchmark optimization problems and compared with several state-of- the-arts PSO. Further, IBC-MPSO is applied for tuning the parameters of a PID controlled both for AVR system and DC motor based system. Result of the experiments illustrates the effectiveness of the IBC-MPSO technique.