基于遗传算法优化的模糊PID控制在粮食干燥中的应用

Application of Fuzzy PID Control Based on Genetic Algorithm in Grain Drying

针对传统控制算法在粮食干燥机的控制系统中控制效果不理想的问题,本论文提出了一种遗传优化的模糊PID控制算法,实现了粮食干燥机的自动控制。该算法结合了模糊控制和PID控制的优点,并且利用遗传算法的全局优化能力和并行能力优化模糊PID控制器的量化因子及其PID参数的修正系数,实现了最优控制。以控制系统的动态性能指标与稳态性能指标作为综合评价指标,建立了包含控制系统的调节时间、超调量和稳态误差三项指标的目标函数,基于该目标函数,利用遗传算法进行了模糊PID控制器的参数优化,改进了常规PID控制、常规模糊PID控制器的控制效果。最后,在MATLAB中,进行了控制性能的仿真与比较,仿真结果表明:粮食干燥机采用基于遗传算法优化的模糊PID控制后,其控制性能优于无优化的模糊PID控制以及常规的PID控制。该算法可为粮食干燥的实际控制策略提供有效的参考。

Aiming at the problem of the unsatisfactory control effect when traditional control algorithm was used in a grain dryer control system, a fuzzy PID control algorithm based on a genetic optimization algorithm was de-signed to implement the automatic control of grain dryer. The algorithm combines the advantages of fuzzy control and PID control, and uses the global optimization ability and parallel processing capability of genetic algorithm to optimize the quantification factors of fuzzy PID controller and the correction factors of PID parameters, and realizes the optimal control. The objective function which contains adjustment time, overshoot and steady state error of the control system was set up by using dynamic and steady state performance indexes of control system as comprehen-sive assessment indexes. Based on the established objective function, the parameters of the fuzzy PID controller were optimized by the genetic algorithm and the control effect of the conventional PID control and the conventional fuzzy PID controller were improved. Finally, the simulation and comparison of control performance were carried out in Matlab, and the simulation results indicate that the control effect of the fuzzy PID controller optimized by ge-netic algorithm for a grain dryer is superior to that of the fuzzy PID controller without optimization and the conven-tional PID control. The control algorithm can provide an effectiveness reference for the actual control strategy of grain drying.