Model reference adaptive control for microbial fuel cell (MFC)

doi:10.1145/3351180.3351197

	Model reference adaptive control for microbial fuel cell (MFC)
	Luo, Qingzhu; An, Aimin; M., Wang
	2019-07-26
会议日期	July 26, 2019 - July 28, 2019
会议地点	Guangzhou, China
关键词	Computer vision Controllers Electric power supplies to apparatus Microbial fuel cells Robotics Controller designs Energy supplies Equivalent state MRAC Output voltages Reference modeling Running process Voltage tracking
DOI	10.1145/3351180.3351197
页码	53-59
英文摘要	Microbial Fuel Cell (MFC) is efficient and clean power supply equipment, but serious nonlinearities exist when the MFC runs, so, how to guarantee its output voltage to reach the setting curve quickly and smoothly is a significant topic. To manipulate the feeding flow is an effective way to achieve this goal; especially the satisfactory results can be received through manipulating anode feeding flow. The working point in the MFC running process is linearized in the localized region to obtain the equivalent state space description using the model reference adaptive control algorithm in this study, so the output voltage of MFC can be effectively controlled. Simulation results indicate that the model reference adaptive control algorithm can quickly and smoothly control the voltage output of MFC's voltage tracking reference model. MFC has better performance in rapidity and accuracy after using the algorithm. This is of great significance for MFC to provide stable energy supply for the external load. © 2019 Association for Computing Machinery.
会议录	ACM International Conference Proceeding Series
会议录出版者	Association for Computing Machinery
语种	英语
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/117947]
专题	电气工程与信息工程学院
作者单位	Lanzhou University of Technology, College of Electrical and Information Engineering Lanzhou, Gansu, China
推荐引用方式 GB/T 7714	Luo, Qingzhu,An, Aimin,M., Wang. Model reference adaptive control for microbial fuel cell (MFC)[C]. 见:. Guangzhou, China. July 26, 2019 - July 28, 2019.