Robust fuzzy-neural-network control for two-axis motion control system based on TMS320C32 control computer

In this study, a robust fuzzy-neural-network (RFNN) sliding-mode control based on computed-torque control design for a two-axis motion control system in which the X-Y table is composed of two permanent magnet linear synchronous motor (PMLSM) is proposed. First, a single-axis motion dynamics with the introduction of a lumped uncertainty including cross… CONTINUE READING