The Optimizing Design of Wheeled Robot Tracking System by PID Control Algorithm Based on BP Neural Network

doi:10.1109/ICIICII.2016.0020

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	The Optimizing Design of Wheeled Robot Tracking System by PID Control Algorithm Based on BP Neural Network
	Ma, Lichao; Yao, Yunping; Wang, Meng
	2017-01-18
会议日期	December 3, 2016 - December 4, 2016
会议地点	Wuhan, Hubei, China
关键词	Fuzzy control Fuzzy inference Fuzzy logic Fuzzy neural networks Industrial informatics Information retrieval Intelligent computing Machine design MATLAB Robots Tracking (position) BP neural networks Excitation signals Fuzzy BP neural network Neural network control Optimizing design Route information Self-learning ability Wheeled robot
DOI	10.1109/ICIICII.2016.0020
页码	34-39
英文摘要	The tracking system of robot was optimized by using the fuzzy BP neural network PID control algorithm in this paper, which was based on the traditional PID control algorithm. The control algorithm combines the functions of fuzzy control, the neural network control and the traditional PID control algorithm, which resulted The PID control has the ability of logical reasoning and computing. The system collects the scheduled route information through the sensor module and altogether with the actual output of the system constitute the excitation signal of the neural network. The MATLAB software is used to simulate the system in this paper, compared with the result of the simulation of traditional PID control algorithm. The result shows that optimize design of wheeled robot tracking system with PIDcontrol algorithm based on BP neural network has better adaptive ability and self-learning ability and the improvement of the stability of wheeled robot tracking system. © 2016 IEEE.
会议录	Proceedings - 2016 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration, ICIICII 2016
会议录出版者	Institute of Electrical and Electronics Engineers Inc.
语种	英语
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/117236]
专题	机电工程学院
作者单位	Lanzhou University of Technology, Lanzhou, China
推荐引用方式 GB/T 7714	Ma, Lichao,Yao, Yunping,Wang, Meng. The Optimizing Design of Wheeled Robot Tracking System by PID Control Algorithm Based on BP Neural Network[C]. 见:. Wuhan, Hubei, China. December 3, 2016 - December 4, 2016.