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  • 标题:Dynamic Parameter Identification of a Novel Motion-Mode-Changing Quasi-Omnidirectional Mobile Platform
  • 本地全文:下载
  • 作者:Florian Pucher ; Hubert Gattringer ; Andreas Müller
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:8438-8443
  • DOI:10.1016/j.ifacol.2020.12.1435
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn process automation of logistic systems autonomous mobile platforms play an important role with high demands on flexibility and maneuverability. Limited space can be a restriction for non-omnidirectional vehicles. In this paper a quasi-omnidirectional platform is considered which can switch between four different motion-modes: wheel alignment in a standstill, a car-like steered longitudinal motion, lateral motion and pure rotation. With the requirement of carrying heavy payloads, feed-forward control becomes an important part of the control concept. This paper presents an approach for parameter identification of this motion-mode-changing system. The equations of motion are formulated using a redundantly parameterized model, which is linear in inertia and friction parameters. For each motion-mode a kinematic model is used for elimination of the constraint forces. Not all parameters can be identified in every configuration.The main idea is to use a combination of simple vehicle movements in the parameter identification process. The identified dynamic parameters are then validated using a more complex movement where all parameters are needed and a configuration which has not been used for identification. Experimental results for a prototype are shown.
  • 关键词:KeywordsMobile robotsidentificationcontrol methodsmodeling
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