文章基本信息

标题：State estimation of an electro-pneumatic gearbox actuator
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作者：Adam Szabo ; Tamas Becsi ; Peter Gaspar 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：52
期号：5
页码：329-334
DOI：10.1016/j.ifacol.2019.09.053
语种：English
出版社：Elsevier
摘要：AbstractThis paper presents two state estimator algorithms, a Kalman and an Extended Kalman filter in order to determine the chamber pressures of a pneumatic actuator without the application of pressure sensors. The presented state estimators were validated against laboratory measurements, then it was shown, that in applications with high computational resources, such as simulations both algorithms can provide acceptable results and they have nearly the same accuracy. Meanwhile, in embedded systems with higher realizable sample time the Kalman filter, which is based on the linearized state-space representation of the system, can not handle the nonlinear behavior of the actuator in every test case. Based on the validation results, a suggestion was made in order to further improve the accuracy of the presented methods.
关键词：KeywordsPneumatic actuatorState observerKalman filterExtended Kalman filterNonlinear system