基于GA优化的模糊PID控制螺旋给料计量系统

Research on Spiral Feeding Metering System based on Genetic Algorithm Optimized Fuzzy PID Control

针对螺旋给料计量控制系统因存在的非线性因素导致系统计量精度低、稳定性差的问题,提出了一种基于遗传算法(GA)优化的模糊PID控制算法。根据系统特性,将GA与模糊逻辑控制结合,对PID参数进行实时调整,以适应系统存在的非线性变化,并基于Matlab/Simulink进行了仿真分析。仿真结果表明,相比于传统PID和模糊PID控制器,基于GA优化的模糊PID控制器超调量更低,抗干扰能力更强。经验证,算法具有很好的鲁棒性,能满足实际控制需求。

A fuzzy PID control algorithm based on Genetic Algorithm optimization was proposed to solve the problem of low precision and poor stability of spiral feeding metering control system due to nonlinear factors.According to the characteristics of the system,the genetic algorithm(GA)and fuzzy logic control are combined to adjust the PID parameters in real time to adapt to the nonlinear changes of the system,and the simulation analysis is carried out based on Matlab/Simulink.The simulation results show that the fuzzy PID controller based on GA optimization has lower overshoot and stronger anti-interference ability compared with traditional PID and fuzzy controller.Verification shows that the algorithm has good robustness and can meet the actual control requirements.