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This paper introduces a design for multi-objective PID controller using non-dominated sorting genetic algorithm (NSGA-II). When selecting the objectives to be optimized, it is taken into account to cover some important characteristics of the system like performance, robustness and control signals' smoothness. The decision making is done using Level diagram tool. Three tanks liquid level system control is discussed as a case study. The results show that this tool improves the process of decision making (DM). Also, comparisons with Ziegler and Nichols (Z-N) and different optimization methods are presented.

This paper outlines a design method for tuning of PID controller using new algorithm based on Particle Swarm Optimization. The tuned PID controller is used in liquid level system control. Compared to different algorithms; the proposed method was more efficient. It gets the best results.