Tracking control design for robot manipulator via fuzzy neural network

摘要

A robust fuzzy-neural-network (RFNN) control system is proposed for the tracking control of an n-link robot manipulator to achieve high-precision position control via the backstepping design procedure. Computer simulations of a three-link SCARA robot manipulator verify the validity of the proposed RFNN control strategy in the possible presence of uncertainties.