基于IQGA的人造岗石搅拌转速系统控制OA北大核心CSTPCD

In order to solve the problem of overshooting and oscillation of stirring speed system of artificial gran-ite under traditional PID control,which leads to the instability of pattern of production products,a control strat-egy combining the improved quantum genetic algorithm,Smith predictor and linear active disturbance rejection control(IQGA-Smith-LADRC)is designed and applied to the stirring speed control system.For nonlinear math-ematical model of stirring speed system,four control strategies,namely,traditional PID,Smith-PID,LADRC and Smith-LADRC,are introduced for simulation and comparative analysis respectively.For the problem that it is difficult to obtain optimal effect of manual parameter tuning of Smith-LADRC controller,a quantum genetic algorithm(QGA)is used to find optimization of the system parameters.In order to further improve the system parameters,QGA algorithm is improved by adding a catastrophe factor and optimizing its ITAE indexes.Simula-tion results show that under step disturbance and parameters variation,Smith-LADRC has better robustness,ra-pidity and anti-interference than other three control strategies;the system optimized by IQGA algorithm has fas-ter response and shorter regulation time compared with QGA algorithm and chaotic particle swarm optimization algorithm(CPSO).Compared with PID control,IQGA-Smith-LADRC control strategy has better control effect on artificial granite speed system.