摘要
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。
Aiming at the difficult problems in parameter tuning of PID controllers in industrial control, the parameter tuning method based on artificial bee colony algorithm is proposed. In this algorithm, the parameter of PID controller need to be tuned is seen as the nectar source ; the high-quality combination of parameters is searched using the unique role change mechanism of the bees; and the ITAE index is selected as the objective function for parameter optimization. The simulation experinmnts show that this algorithm can enhance dynamic performance of the control system, and strengthen the speediness and stability of the system, it＇ s suitable for PID controller self-tuning.
出处
《自动化仪表》
CAS
2015年第8期74-77,共4页
Process Automation Instrumentation
基金
上海市教育委员会科研创新重点基金资助项目(编号:12zz06)
高等学校博士学科点专项科研基金资助项目(编号:20120075120009)
关键词
PID控制
人工蜂群算法
适应度
参数寻优
蜜源
PID control
Artificial bee colony algorithm
Adaption
Parameter optimization
Nectar source
