SOFT COMPUTING APPROACH TO DESIGN PID CONTROLLER FOR TANK LIQUID LEVEL CONTROL PROBLEM

In this paper, an investigation has been made to design the best possible Proportional + Integral + Derivative (PID) controller for the Hopper type tank and Spherical tank system. In order to identify the optimal controller parameters, soft computing schemes, such as Particle Swarm Optimization (PSO), Bacterial Foraging Optimization (BFO), Firefly Algorithm (FA), and Cuckoo Search (CS) are considered. In the proposed work, minimization of a weighted sum of Objective Function (OF) is adopted to guide the soft computing technique based controller design procedure. The qualitative and quantitative analysis is carried out to validate the performance of the considered procedure. The results evident that, the Brownian walk guided algorithms offers better performance compared to the PSO.