Robust Fuzzy Neural Network Based Mechatronic Servo Systems with High Control for Nonlinearity

The intelligent controls such as a neural network based control for mechatoronic positioning sew0 systems have been researched actively in recent years because the mechanism design could not cope with the advanced requirements. This paper proposes a novel robust fizzy-neural network based control for the mechatoronic positioning servo systems that have nonlinear characteristics such as friction, backlash, variations of load and system parameters, and unknown disturbances. Computational simulation results for one degree-of-fieedom positioning system are shown to confirm the validity of the proposed controller. Keyword: Fuzzy control, neural network, servo, positioning, nonlinearity, fiiction