PID CONTROLLER DESIGN FOR DECENTRALIZED TITO PROCESS USING MODIFIED DIFFERENTIAL EVOLUTION ALGORITHM

In this paper, a proportional integral derivative (PID) controller design technique for the two-input-two-output (TITO) process is proposed based on the pre-defined plant transfer function. To minimize interaction of the multi-loop in the multi-input-multi-output (MIMO) system, a simplified decoupling method is used to have less/minimum interaction of the system between the input and the output. The modified differential evolution (MDE) algorithm is used to obtain the PID controller gain parameters for the TITO system with the specified specification or the desired closed-loop response by an optimized tuning. The MDE algorithm can design a PID controller for giving good time domain specifications, desired response and stability of the TITO system. Here, two benchmark cases demonstrate the effectiveness of the technique for the PID controller design of the TITO process. This PID controller has better improvement of the setpoint tracking and disturbance rejection.

Automated summary

This paper proposes a PID controller design technique for the TITO process based on the pre-defined plant transfer function, with the use of a simplified decoupling method to reduce interactions and the MDE algorithm for optimized tuning. The technique shows better performance in setpoint tracking and disturbance rejection for the TITO process.