Design PID controller for TITO process based on least square optimization tuning method

Abstract

In this paper, a new auto tuning least square optimization tuning technique is presented to design Wood and Berry (WB) distillation column. It has Two Inputs and Two Outputs (TITO) binary distillation column. Design of TITO systems with decentralized, centralized, decouplers (compensators) and optimization tuning methods are not guaranteed to achieve desired output response. By adopting least square optimization tuning, it acts like an auto tuning control strategy. Hence, best performance characteristics of the system can be obtained. Here, WB TITO system is designed with full centralized structure and its PID values are evaluated from the MATLAB simulation program. Performance of the closed loop system is compared with Real Coded Genetic algorithm (RGA) and Covariance Matrix Adaption Evolution Strategy (CMAES). Best simulation results and performance indices values are obtained in least square optimization tuning method.