Mixed-reality environment for frictional parameters identification in servo-pneumatic system.

dc.contributor.authorSaleem, A.
dc.contributor.authorWong, Chi Biu
dc.contributor.authorPu, Junsheng
dc.contributor.authorMoore, Philip R.
dc.date.accessioned2009-07-20T08:37:01Z
dc.date.available2009-07-20T08:37:01Z
dc.date.issued2009
dc.description.abstractThis paper outlines a method to identify the friction parameters for servo-pneumatic systems using a mixed-reality environment. To acquire system friction parameters accurately can be extremely difficult once the servo-system has been assembled because of its highly nonlinear nature, which causes a great difficulty in servo-pneumatic system modelling and control. In this research, a mixed-reality environment has been employed to determine the friction parameters effectively and efficiently through online identification. Traditionally, friction parameters identification can be performed manually or automatically using traditional optimization methods or modern ones such as neural networks. The advantages of the proposed method are the high accuracy in the estimated parameters, its simplicity and its speed. An experimental case study has been conducted and the results showed the accuracy and effectiveness of the proposed method.
dc.identifier.citationSaleem, A., Wong, C.B., Pu, J. and Moore, P.B. (2009) Mixed-reality environment for frictional parameters identification in servo-pneumatic system. Simulation Modelling Practice and Theory, 17 (10), pp. 1575-1586en
dc.identifier.doihttps://doi.org/10.1016/j.simpat.2009.06.016
dc.identifier.issn1569-190X
dc.identifier.urihttp://hdl.handle.net/2086/1979
dc.language.isoenen
dc.publisherElsevieren
dc.researchgroupMechatronics Research
dc.titleMixed-reality environment for frictional parameters identification in servo-pneumatic system.en
dc.typeArticleen

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