کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
718476 892260 2009 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Adaptive Threshold Generation for Robust Fault Detection using Interval LPV Observers
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مکانیک محاسباتی
پیش نمایش صفحه اول مقاله
Adaptive Threshold Generation for Robust Fault Detection using Interval LPV Observers
چکیده انگلیسی

In this paper, adaptive threshold generation for robust fault detection of nonlinear system described by means of a Linear Parameter Varying (LPV) model is analyzed. Uncertainties due to parameter variations are considered unknown but bounded by intervals. Their effect is addressed using an interval LPV observer based on zonotopes. The design procedure of this observer is implemented via pole placement using LMIs. The optimal threshold is generated by evaluating the worst-case residual's energy evolution in the time domain. When this adaptive threshold is used, the minimum detectable fault is characterized. Finally, an application example based on a two-degree freedom helicopter will be used to assess the validity of the proposed approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: IFAC Proceedings Volumes - Volume 42, Issue 8, 2009, Pages 444-449