Extremum Seeking Control for Systems with Time-Varying Extremum

摘要：

Most extremum seeking control methods consider time-independent input-to-output mappings. Correspondingly, these methods are suitable for systems where the variations of the mapping are much slower than the adaptation dynamics. The few existing results for the case where the mapping is time-dependent require the knowledge of the structure of the timedependency. In this paper, an extremum seeking algorithm is proposed for mappings where the optimal point is time-varying. The time variations are considered to be of a general form. The proposed extremum seeking control method basically consists of two separate components, i.e., 1) real-time gradient estimation and 2) gradient search for tracking a time-varying optimal point. The gradient is estimated by adding a sinusoidal perturbation to the searching signal and then demodulating the measured output. The estimated gradient signal is then fed into a novel gradient search method, which is proven to move the searching signal toward the optimal value.

关键词： Extremum seeking optimization tracking control gradient estimation gradient search

作者: Faryad Darabi Sahneh Guoqiang Hu Lihua Xie

作者单位: Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506, USA EXQUISITUS, Centre for E-City, School of Electrical and Electronics Engineering, Nanyang Technologic EXQUISITUS, Centre for E-City, School of Electrical and Electronics Engineering, Nanyang Technologic

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 225-231

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）