The work aims to apply super twisting sliding mode to motor control to better cope with environment changes to solve the performance change of permanent magnet synchronous machines (PMSM) under traditional PID control due to environment changes such as sudden load change, heavy load starting, and frequent speed changes. By adding adaptive proportional term and integral term to the original super spiral sliding mode algorithm, faster convergence speed and stronger robustness were obtained. Then, a new supersaturation coefficient was introduced to deal with the overshoot problem caused by the introduction of the integral term.In the simulation environment of Matlab/SMULINK, the proposed model was built and compared with the model built by the traditional PID control, super twisting sliding mode control and proportional term improved super twisting sliding mode control. The result showed that, the proposed method improved the stability and rapidity by 33%~91% and 27%~76%, respectively when the environment changed. The super spiral sliding mode controller optimized in this paper has higher robustness and faster rapid convergence, improves the performance of the system, and can effectively cope with the sudden load change, heavy load starting, and frequent speed change problems mentioned in the previous article. It makes the PMSM proposed in the work more conform to the requirements of packaging machine.