Research on Fuzzy PID Control of Pulverizing System based on Hybrid Adaptive Particle Swarm Optimization Algorithm
A hybrid adaptive particle swarm optimization(HAPSO)method to optimize fuzzy PID for pulverizing system was proposed and the simulation control was studied.The optimization performance of HAPSO algorithm was verified by the simulation experiment of fitness function contrast,and the compari-son experiments were carried out between the fuzzy PID control optimized by HAPSO algorithm with tradi-tional PID control,fuzzy PID control and the fuzzy PID control optimized by Gaussian function decreasing inertia weight particle swarm optimization algorithm(GDIWPSO).Experimental results show that the HAPSO algorithm proposed in this paper can effectively improve the algorithm's global search ability,and can find the global optimal solution of the problem faster and more accurately.Compared with the PID control and the fuzzy PID control,the overshoots of the fuzzy PID optimized by HAPSO algorithm are re-duced by 62.01%and 58.81%respectively,and the adjusting time are reduced by 51.45%and 46.31%respectively.
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