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Adaptive impedance control for robot based on estimation of environmental parameters
Li, Zhan Ming1; Li, Er Chao2
2011
会议日期November 18, 2011 - November 20, 2011
会议地点Guangzhou, China
关键词Estimation Mechatronics Neural networks Robotics Robots BP neural networks Changing environment Contact task Environmental parameter Force controller Impedance control Impedance controllers Impedance parameters One-to-one mappings Unknown environments
卷号328-330
DOI10.4028/www.scientific.net/AMR.328-330.1713
页码1713-1716
英文摘要In order to realize precise contact tasks with an unknown environment, robotic force controllers have to adapt themselves to the unknown environment. Some impedance controllers are designed for several representative environmental parameters, A BP neural network is proposed to determine the one-to-one mapping relations between the environmental parameters and the impedance parameters. However, it is difficult to accurately know the environmental parameters in the case of a changing environment, RLS is proposed to estimate environmental parameters, then determine the impedance coefficients to control the robot. Simulations prove that the controller designed is feasible and effective. © 2011 Trans Tech Publications.
会议录Advanced Materials Research
会议录出版者Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany
语种英语
ISSN号10226680
内容类型会议论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/116587]  
专题兰州理工大学
作者单位1.College of Electrical and Information Engineering, Lanzhou University of Technology, China;
2.Key Laboratory of Gansu Advanced Control for Industrial Processes, China
推荐引用方式
GB/T 7714
Li, Zhan Ming,Li, Er Chao. Adaptive impedance control for robot based on estimation of environmental parameters[C]. 见:. Guangzhou, China. November 18, 2011 - November 20, 2011.
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