DESIGN OF OPTIMIZED PI CONTROLLER WITH IDEAL DECOUPLER FOR A NON LINEAR MULTIVARIABLE SYSTEM USING PARTICLE SWARM OPTIMIZATION TECHNIQUE

Most of the industrial processes are multivariable in nature. The Multi Input Multi Output (MIMO) process has the difficulty in controller design because of changes in process dynamics and interactions between process variables. The quadruple tank process is a novel laboratory equipment which has been used in control literature to illustrate many concepts in MIMO systems. The objective of the current study presented in this paper is to design an optimized PI controller for quadruple tank process with decoupler using particle swarm optimization and to compare it with Model Reference Adaptive Control (MRAC) technique. The validity and robustness of the proposed system is tested using simulation results. A good performance of set point tracking and disturbance attenuation is obtained for the decoupled process.

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