Optimization of intelligent control for hydraulic servo system using novel evolutionary algorithm

This paper presents the controller design with robust and high precision performance based on novel evolutionary algorithm. Robust fuzzy PID controller is developed with the aim to achieve precise tracking performance. Mathematical model is developed that includes LuGre dynamic friction model to accounts for main nonlinearities. The influence of controller parameters on control performance is determined with statistical approach. To acquire the global optimum these parameters are optimized by using novel evolutionary algorithm. Effectiveness and robustness of the proposed controller are compared with fuzzy PID control. Extensive simulation results confirm robust fuzzy PID method is marvelous with high effectiveness, robustness and precise tracking performance under unknown modeling error, parametric uncertainties and external disturbances.