Robust fuzzy neural network based control for mechatronic servo systems with high nonlinearity

The intelligent controls such as a neural network based control for mechatronic positioning servo 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 fuzzy-neural network based control for the mechatronic 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-freedom positioning system are shown to confirm the validity of the proposed controller.