基于果蝇优化算法的PID控制器设计与应用

摘要

The PID parameter obtained from the traditional Z-N method is difficult to receive the optimal control performance. Therefore, a method for parameter optimization of PID controller based on Fruit fly Optimization Algorithm was proposed, which has less control parameters, simple operation and good optimize performance. Then, We the performance of the PID controller designed by this algorithm with that designed by the Z-N method and genetic algorithm were compared. The simulation results show that the PID controller base on Fruit fly Optimization Algorithm is better than the Z-N method and genetic algorithm, and has a faster convergence speed than the genetic algorithm, and the stability control problem of circular inverted pendulum system by using this PID controller achieves good control effect.%针对传统的Z-N法得到的PID参数，难以获得最优的控制性能，提出一种基于果蝇优化算法的PID控制器参数优化的方法。果蝇优化算法具有控制参数少、实现简单和优化性能良好的优点，运用此算法设计出PID控制器，与Z-N法和遗传算法设计的PID控制器进行比较。仿真结果表明：果蝇优化算法的PID控制器比Z-N法和遗传算法的PID控制器所得结果更优，比遗传算法具有较快的收敛速度，并应用于环形一级倒立摆系统的稳定控制问题，达到较好的控制效果。