In order to improve the control accuracy of the Smith-fuzzy PID temperature control system of the rubber extruder, and better realize the intelligent tuning parameters and optimal control of the temperature of the rubber extruder, the hybrid particle swarm optimization(HPSO) algorithm was used to optimize the Smith-fuzzy PID control system to complete the automatic optimization of the PID parameters reference value of the temperature control system.MATLAB software was used to identify the mathematical model of the extruder temperature control system, a Smith-fuzzy PID temperature control system was built. In order to avoid the PSO algorithm falling into the local optimum, the social factors were decomposed into local social factors and global social factors on the basis of the PSO algorithm, and the HPSO algorithm was designed to optimize the PID parameters; the system control effects before and after the HPSO algorithm optimization were compared. The results show that by using the HPSO algorithm to optimize the Smith-fuzzy PID temperature control system, control accuracy is more higher and the anti-interference performance is more stronger, the temperature control accuracy is within±(1~1.5) ℃and close to ±1 ℃, by which the rubber extrusion production process fully can be met and the control accuracy of the temperature control system and the intelligent level of the extrusion machinery can be improved to a certain extent.