摘要
对极值搜索控制(Extremum Seeking Control,ESC)的主要思想进行了阐述,并对极值搜索控制的发展历史及分类进行了总结.ESC是基于极值搜索优化算法的思想而产生的控制方法,这是一种能够在某些信息未知的情况下根据输出、能耗等要求而获得满意控制效果的自适应控制.ESC在提高系统整体性能的同时可以大幅度节省能耗和原材料,并具有对系统内部信息要求不多的特点,因此具有很好的应用前景.目前,针对ESC的研究主要分为:基于梯度的ESC,基于摄动的ESC,基于滑模的ESC以及基于数字优化的ESC等.最后,根据当前理论研究及实际应用情况,指出研究中存在的不足,并对今后工作进行了展望.
The major theories of Extremum Seeking Control（ESC） are elaborated and classified in this paper.Based on extremal optimization,ESC is self-adaptive and effective in its adaption to output or cost even with uncertain factors.Due to the fact that even small improvements in performance can lead to large savings in raw material and energy consumption,and that ESC can work without detail information of states,ESC has aroused great attention.The present researches are classified into gradient-based ESC,perturbation-based ESC,sliding-mode based ESC and numerical optimization-based ESC.Finally,the problems of the current researches as well as the prospects are pointed out.
出处
《昆明理工大学学报（理工版）》
北大核心
2010年第5期56-60,共5页
Journal of Kunming University of Science and Technology(Natural Science Edition)
基金
上海高校选拔培养优秀青年教师科研专项基金项目(项目编号:GJD08051)
关键词
极值搜索控制
性能函数
系统结构
extremum seeking control
performance function
system structure
