Based on the technology of filed programmable gate array FPGA, a realization of fuzzy control (FC) sytem with radial basis function neural network (RBF NN) tuning is presented to a permanent magnet linear synchronous motor (PMLSM) drive is defined, then to increase the performatic model of the PMLSM drive system and FC constructed by a fuzzy basis function and its parameter adjustable mechanism using RBF NN is applied to the position control loop of the PMLSM drive system to cope with the effect of the system dynamic uncertainty and the external load. Secondly FPGA by using finite state machine FSM method is presented to. realise the aforementioned controllers and VHSIC hardware description language (VHDL) is adopted to describe the circuit of the FSM. Finally, an experimental system is established to verify the effectiveness of the proposed FPGA - based neural fuzzy control system for PMLSM and some experimental rsults are confirmed theoretically.