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

A. Saleem*, C. B. Wong, J. Pu, P. R. Moore

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةArticleمراجعة النظراء

23 اقتباسات (Scopus)

ملخص

This 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.

اللغة الأصليةEnglish
الصفحات (من إلى)1575-1586
عدد الصفحات12
دوريةSimulation Modelling Practice and Theory
مستوى الصوت17
رقم الإصدار10
المعرِّفات الرقمية للأشياء
حالة النشرPublished - نوفمبر 2009
منشور خارجيًانعم

ASJC Scopus subject areas

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