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

doi:10.1109/ICIICII.2016.0020

IR > 机电工程学院

	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
会议名称	2016 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration, ICIICII 2016
会议录名称	Proceedings - 2016 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration, ICIICII 2016
页码	34-39
会议日期	December 3, 2016 - December 4, 2016
会议地点	Wuhan, Hubei, China
出版者	Institute of Electrical and Electronics Engineers Inc.
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.
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
收录类别	EI
语种	英语
EI入藏号	20171103451370
EI主题词	Three term control systems
来源库	Compendex
分类代码	601 Mechanical Design - 721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory - 723.4 Artificial Intelligence - 731 Automatic Control Principles and Applications - 903.3 Information Retrieval and Use - 921 Mathematics
引用统计	无
文献类型	会议论文
条目标识符	https://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
第一作者单位	兰州理工大学
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]:Institute of Electrical and Electronics Engineers Inc.,2017:34-39.