A Robust Hybrid Control Approach Tuned by PSO for Long-Time Delay Nonlinear Chemical Processes

This paper proposes a hybrid controller that mixes the Smith Predictor scheme along the sliding mode method and uses particle swarm optimization (PSO) to fine-tune the controller parameters. The proposed approach considers including the Taylor series approximation to put together a dead-time term as the non-invertible part and a gain for the invertible parts; in this way, the controller synthesis is simple. The performance of the designed controller is measured using the error-dependent performance indexes using a nonlinear chemical reactor with long-time delay systems. The results show that the proposed controller tuned using PSO can significantly increase the efficiency of designing robust controllers for nonlinear systems.