Abstract: A fuzzy decoupling PID control method based on adaptive particle swarm optimization (APSO) was proposed for the characteristics of multivariable, strong coupling and large time delay in the ore crushing process of vibration-slow shear crusher. Based on diagonal matrix decoupling of dynamic model for vibration-slow shear crusher, fuzzy PID control of ore feeding quantity and vibration motor frequency is carried out respectively, and dynamic optimization of membership function parameters of fuzzy PID control is conducted by introducing APSO algorithm, so as to achieve accurate, stable and fast control of main motor operating current and qualified mineral yield. The simulation and experimental results show that the method has characteristics of fast response, short adjustment time and small overshoot.