Position Control of Hydraulic Drives in Machine Tools by Fuzzy Self-learning Controller

Fluid power actuators are characterized by their high-power density and excellent dynamic response. They are ideally suited to many high dynamic applications in modern machine tools. However, the disadvantages of hydraulic systems such as nonlinear dynamic behaviour due to friction, fluid compressibility need to be overcome. This is successfully obtainable only by implementation of modern digital control systems designed on the basis of modern control theory. The proposed new control strategy uses a combination of a fuzzy logic controller designed as a self-learning fuzzy system and conventional control approaches.