According to the nonlinear, timevarying and strong coupling of the servo system of permanent magnet linear synchronous motor (PMLSM), a speed control strategy based on fuzzy neural network PID was designed, through fruit fly optimization algorithm (FOA) and frog leaping algorithm (FLA) made fruit fly optimization algorithmfrog leaping algorithm (FOAFLA), it real time adjust and optimized the structure parameters of fuzzy neural network, the output were suitable for PID controller of the best parameters kp、ki、kd, it had realized adaptive and intelligent control for PMLSM speed control. Simulation analysis and experimental results showed that, Using the PID speed controller of fuzzy neural network based on FOAFLA, the permanent magnet linear synchronous motor control system could get better control effect.