Solving the Controller Design Problem for TITO System Using Jaya Algorithm

Abstract

In process industries, design of optimal PI/PID controller for a chosen process model is the chief task. In this paper, a method is proposed to design the stabilizing controller for the benchmark Two Input Two Output (TITO) process, such as Vinante & Luyben (VL) and Wood & Berry (WB) distillation columns available in the literature. In this paper, optimal controller values for the considered TITO systems are identified with a centralized tuning scheme using the Jaya algorithm (JA). Superiority of JA is validated against the existing methods, such as Bacterial-Foraging (BFO), Firefly-Algorithm (FA), and Teaching-Learning Based Optimization (TLBO). The experimental investigation confirms that, the JA offers superior values of time-domain values and the error values compared with the alternatives. Hence, in future, JA assisted approach can be considered to resolve a diversity of controller design problems existing in the literature.