针对工业控制中常用的PID控制器参数整定困难的问题,提出一种基于人工蜂群算法的参数整定方法。将PID控制器待整定参数看作蜜源,利用蜂群特有的角色转变机制搜索优质的参数组合 选取绝对误差矩积分性能指标作为参数寻优的目标函数。仿真实验结果表明,所采用的算法能够提高控制系统的动态性能,增强系统的快速性和稳定性,适用于PID控制器的自整定。

-For industrial control commonly used in PID controller tuning difficult problem, a parameter artificial bee colony algorithm tuning method. The PID controller tuning parameters to be considered as nectar, the bees take advantage of the unique role change mechanism to search for high-quality combination of parameters　selecting moment integral absolute error performance index as a parameter optimization objective function. Simulation results show that the algorithm can be used to improve the dynamic performance of the control system, enhanced speed and stability of the system for self-tuning PID controller.