The current loop of permanent magnet synchronous motor was controlled by PID algorithm or improved PID algorithm. The robustness of PID algorithm and improved PID algorithm was unsatisfactory. The adaptive cloud model control algorithm for permanent magnet synchronous motor was proposed to solve the problem. After analyzing the structure of adaptive cloud model, an adaptive cloud model controller for permanent magnet synchronous motor was designed, and the adaptive cloud model structure was deduced.The experimental platform of PMSM Based on adaptive cloud model control algorithm was constructed. The experimental results show that the adaptive cloud model control algorithm for permanent magnet synchronous motor is effective and stable.