Adaptive PID control based on improved BP Neural Network

	Adaptive PID control based on improved BP Neural Network
	Qiang, Ming-hui; Zhang, Ming-guang
	2006
关键词	Back Propagation (BP) Neural Network adaptive PID control simulation
页码	979-981
英文摘要	An improved Back Propagation Neural Network (BPNN) based on self-leaning adaptive PID control strategy is presented in this paper. With the learning of a BPNN controller, it gradually compensates the deficiency of the feedback PID controller, until they gradually control the system together perfectly. The design of the controller is independent on the empirical knowledge of the system, and the parameters are tuned based on the testing information and error feedback-learning algorithm. The results of the simulation show that the proposed controller has the adaptability, strong robustness and satisfactory control performance in the nonlinear and time varying system.
会议录	DCABES 2006 PROCEEDINGS, VOLS 1 AND 2
会议录出版者	SHANGHAI UNIV
会议录出版地	149 YANCHANG RD, SHANGHAI 200072, PEOPLES R CHINA
语种	英语
WOS研究方向	Computer Science
WOS记录号	WOS:000242373900236
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/38248]
专题	电气工程与信息工程学院
通讯作者	Qiang, Ming-hui
作者单位	Lanzhou Univ Technol, Sch Elect & Informat Engn, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Qiang, Ming-hui,Zhang, Ming-guang. Adaptive PID control based on improved BP Neural Network[C]. 见:.