Research on Temperature Difference Control Strategy for Displacement Cooking Pot
In order to improve the control accuracy and robustness of the displacement cooking system in the pulp process under disturbance and model mismatch conditions,this paper theoretically modeled and studied the temperature difference control model of the displacement cooking sys-tem,and proposed a temperature difference adaptive PID control method for the displacement cooking system based on fuzzy control algorithm and particle swarm optimization(PSO)algorithm.Firstly,particle swarm optimization algorithm was used to optimize the initial values of PID control-ler parameters,and then fuzzy algorithm was used to achieve PID parameter self-tuning.Finally,the control effect was compared with traditional PID controllers and fuzzy PID controllers.The results showed that under a single operating condition,the comprehensive performance of the PSO fuzzy PID controller was the best,with the shortest adjustment time,effectively maintaining consistency in the temperature of the medicine solution in the vertical cooking pot.For pressure step disturbance and model mismatch conditions,the PSO fuzzy PID controller had stronger anti-interfer-ence performance,lower overall overshoot,shorter adjustment time,and good robustness and adaptability.