The Optimal Design of Wheeled Robot Tracking System

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	The Optimal Design of Wheeled Robot Tracking System
	Wang, Meng; Jin, Wuyin
	2016
关键词	elman neural network PID control single neuron MATLAB simulation
页码	900-906
英文摘要	One single neuron PID control algorithm based on Elman neural network identification to optimize design of wheeled robot tracking system is proposed in this paper. The error between predetermined path and actual running track of the system is employed as the input of controller for single neuron PID control algorithm based on Elman neural network identification. Neuronal synaptic weights are constantly adjusted online by controller, which outputs a signal to control the motor drive module to adjust the steering and speed of servo motor. The control algorithm proposed in this paper is combined with the L298N chip for the first time. The function of robot self-steering is realized by differential steering of two servo motor. The algorithm is tested by Matlab software, the results suggests that the control effect in is obviously superior to the traditional PID control schemes.
会议录	2016 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATIONS (ICCC)
会议录出版者	IEEE
会议录出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
语种	英语
WOS研究方向	Computer Science ; Telecommunications
WOS记录号	WOS:000411576801078
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/36385]
专题	机电工程学院
通讯作者	Wang, Meng
作者单位	Lanzhou Univ Technol, Lanzhou, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Wang, Meng,Jin, Wuyin. The Optimal Design of Wheeled Robot Tracking System[C]. 见:.