论文部分内容阅读
为了准确识别闭环控制系统中存在的扰动源并消除其隐藏在系统中的干扰规律,在对函数P-集合(function packet sets)的动态特性和规律特性进行进一步的推理挖掘的基础上,提出了F-萎缩规律、F-扩张规律、(F,F)-双向规律对及F-萎缩规律簇、F-扩张规律簇、(F,F)-双向规律簇的概念,给出了萎缩度、扩张度及萎缩度集合、扩张度集合的定义,并将其运用到闭环控制系统干扰规律的识别过程中,提出了(F,F)-双向规律扰动识别准则,构建了基于函数P-集合的闭环控制系统模型。经试验验证,给出的方法是有效的,同时为实际生产生活中干扰规律的识别与抵消提供了一个新的工具。
In order to accurately identify the disturbance sources existing in the closed-loop control system and eliminate the interference law hidden in the system, based on the further inference mining of the dynamic characteristics and regularity of the function packet sets, F-shrinking law, F-expanding law, (F, F) -bidirectional law and the concept of F-shrinking law, F-expanding law and (F, F) (F, F) - two-way regular perturbation identification criterion is established, and the function based on function P-set is constructed Closed-loop control system model. The experimental verification shows that the method is effective and provides a new tool for the identification and cancellation of the interference law in real life.