Smooth Variable Structure Filter for pneumatic system identification

Mohammad Al-Shabi*, Ashraf Saleem, Tarek A. Tutunji

*المؤلف المقابل لهذا العمل

نتاج البحث: Conference contribution

19 اقتباسات (Scopus)

ملخص

The Smooth Variable Structure Filter (SVSF) is a newly-developed predictor-corrector filter for state and parameter estimation [1]. The SVSF is based on the Sliding Mode Control concept. It defines a hyperplane in terms of the state trajectory and then applies a discontinuous corrective action that forces the estimate to go back and forth across that hyperplane. The SVSF is suitable for fault detection and identification applications because of its stability and robustness in modeling uncertainties. The SVSF has two indicators of performance; the a posteriori output error and the chattering. The latter as a signal-contains the system's information which is proven and explored in this paper. The SVSF is applied for the identification of pneumatic systems in order to verify the proposed method. Furthermore, the proposed method is compared with neural network and the results reveal that SVSF is better in identifying nonlinear systems.

اللغة الأصليةEnglish
عنوان منشور المضيف2011 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2011
المعرِّفات الرقمية للأشياء
حالة النشرPublished - 2011
منشور خارجيًانعم
الحدث2011 1st IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2011 - Amman, Jordan
المدة: ديسمبر ٦ ٢٠١١ديسمبر ٨ ٢٠١١

سلسلة المنشورات

الاسم2011 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2011

Other

Other2011 1st IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2011
الدولة/الإقليمJordan
المدينةAmman
المدة١٢/٦/١١١٢/٨/١١

ASJC Scopus subject areas

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