A Novel Hybrid Control Approach with PSO Optimization for Processes with Long Time-Delay

Abstract

This paper proposes a hybrid controller that mixes the Smith Predictor scheme along the sliding-mode method and uses particle swarm optimization to fine-tune the parameters for the controller. The proposed controller is based on the first-order plus dead-time model to put together a dead-time term as the non-invertible part and a gain for the invertible part; in this way, the controller synthesis is too easy. The performance of the designed controller is measured using the ISE, IAE, and TVu indices. The results show that the proposed controller can significantly increase the efficiency of designing robust controllers for high-order and inverse response linear systems.