論文

査読有り
2015年5月

An online reference governor for mobile robot to reduce the occurrence of control input saturation

ADVANCED ROBOTICS
  • Kuniaki Kawabata
  • ,
  • Jianru Xue
  • ,
  • Liang Ma
  • ,
  • Nanning Zheng

29
10
開始ページ
671
終了ページ
681
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1080/01691864.2014.1001789
出版者・発行元
TAYLOR & FRANCIS LTD

This study proposed an online reference governor for a mobile robot to reduce the occurrence of control input saturation. For following the trajectory by a mobile robot, it is one of the practical subjects to provide appropriate control reference even if any disturbances occur. We proposed a methodology to regulate the control reference iteratively based on time-scaling approach. The time-scaling approach is a method to realize to regulate time development characteristic on the given trajectory. It is difficult to model the effect of the interaction with the road surface and the trajectory tracking error is appeared as the amount of accumulated such factors. Therefore, it is a practical approach to reduce the occurrence of control input saturation based on the evaluation of the trajectory tracking error. Proposed reference governor realizes online time scaling based on the trajectory tracking error index and a smooth transition dynamics. By introducing the proposed method, the occurrence of control input saturation can be reduced in case of that the disturbances occur. For verification of our proposed method, computer simulations utilizing a stable velocity controller were conducted and the results were discussed.

リンク情報
DOI
https://doi.org/10.1080/01691864.2014.1001789
DBLP
https://dblp.uni-trier.de/rec/journals/ar/KawabataXMZ15
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000355128300001&DestApp=WOS_CPL
URL
http://dblp.uni-trier.de/db/journals/ar/ar29.html#journals/ar/KawabataXMZ15
ID情報
  • DOI : 10.1080/01691864.2014.1001789
  • ISSN : 0169-1864
  • eISSN : 1568-5535
  • DBLP ID : journals/ar/KawabataXMZ15
  • Web of Science ID : WOS:000355128300001

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