Optimized PIDI2D2 Controller Based on Genetic Algorithm for Three-tank Liquid Level Control System

This paper considers the optimized PIDI2D2 controller based on genetic algorithm for three tank liquid level control systems. The process control of the liquid level inside the tank is an important issue for today's industrial processes due to the requirement of mixing the liquid components. Thus, the designing and implementation of the controllers for such a system are major problems which need to be considered. At the moment, most controllers using in the process control are basic PID controllers. However, sometimes the poor performance for the system with PID controller will be acquired; i.e., the slow settling time and high overshoot. Therefore, this paper proposes an efficient method of tuning controller PIDI2D2 parameters by using genetic algorithm (GA). According to the proposed technique in this paper, the simulation results that the improvement of the settling time and overshoot for the system is obtained by comparing with the tuning controller PID parameters based on GA and PSO techniques.