A particle swarm optimization based predictive controller for delay compensation in networked control systems

Abstract

This paper addresses transmission delays problem in network control systems. Network-induced delay is an inherent constraint in NCS implementation that could lead to system degradation and destabilization. A particle swarm optimization (PSO) tuning algorithm was adopted to optimally tune the parameters of Generalized Predictive Controller (GPC) to solve networked-induced delay problem. Furthermore, a modified PSO-GPC was designed by replacing the standard GPC objective function with an Integral Time Squared Error (ITSE) performance index in the GPC controller design. A particle swarm optimization based PI controller in the Smith predictor structure is designed to compare the performances of the original PSO-GPC and the modified PSO-GPC. The results show that the modified PSO-GPC performed better than the PSO-GPC in terms of transient response and enhanced NCS performance in the occurrence of network delays.