Predictive functional control based on particle swarm optimisation algorithm for MIMO process with time delay

The present study aims to propose a method for designing a predictive functional control (PFC) based on the particle swarm optimisation (PSO) algorithm for the multi-input multi-output (MIMO) process with time delay. Due to the cross-coupling, time delay, and other MIMO industrial process challenges, the classical controller could not overcome the system challenges. PFC is a model-based predictive controller that uses the state-space equations of the system. According to the results, the optimisation problem is resolved using the PSO for determining the optimal controller parameters. The incorporated PFC and PSO's performance as the proposed controller is evaluated using simulations on the chamber pressure coke furnace as a MIMO process with time-delay. The simulation results demonstrate that the PFC variables tuned by the PSO approach have better performance compared to the conventional PFC, especially in the presence of disturbances and uncertainty.