文章基本信息

标题：Application of Input and State Multiple Model Adaptive Estimator for Aircraft Airspeed Approximation
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作者：Péter Bauer ; Tamás Baár ; Tamás Péni 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2016
卷号：49
期号：17
页码：76-81
DOI：10.1016/j.ifacol.2016.09.014
语种：English
出版社：Elsevier
摘要：This paper addresses the problem of state estimation in the presence of unknown inputs if the system is dependent on an uncertain parameter. Multiple Model Adaptive Estimation is applied to state and unknown input observers. The theory is evaluated on an aircraft airspeed estimator algorithm. The developed algorithm is based-on linear time invariant (LTI) models of an aircraft linearized at distinct airspeed values. Separate Kalman Filters are designed for aircraft LTI models, run parallel, and the airspeed estimate is the weighted sum of the airspeed estimates provided by the Kalman Filters. Linear and nonlinear test simulations without and with measurement noise proved that the developed algorithm is able to provide accurate airspeed estimates.
关键词：Kalman FiltersMultiple Model Adaptive EstimationStateUnknown Input Estimation