Modified particle swarm optimized MIMO FLC for complex industrial process

This paper presents a modified particle swarm optimization (MPSO) algorithm to design an optimal multi input multi out (MIMO) fuzzy logic controller for a cement mill process. The membership function, rule base and the scaling factor of the multi input multi output FLC is tuned for optimal control performance using MPSO by minimizing the Integral absolute error for minimum and maximum operating setpoints. Simulation results show the effectiveness of the proposed MPSO optimized MIMO FLC work effectively under varying hardness and setpoints. The material hardness is considered up to 1.7 to demonstrate the superior performance of the proposed algorithm over other control algorithms.