文章基本信息

标题：Determining vehicle acceleration from noisy non-uniformly sampled speed data for control purposes
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作者：Edwin Solano-Araque ; Guillaume Colin ; Guy-Michel Cloarec 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：66-71
DOI：10.1016/j.ifacol.2019.09.011
语种：English
出版社：Elsevier
摘要：AbstractVehicle acceleration is an important variable for many automotive control applications. In this paper, we present an approach to estimate vehicle acceleration from vehicle speed data coming from the CAN (Controller Area Network) bus. The proposed method, which can be seen as an extension of the Savitzky-Golay filter to non-uniformly sampled signals, re-samples them to a constant period while filtering noise coming from different sources and also provides a proper estimation of vehicle acceleration. We also consider the frequency response of the filtering effect of the method. Finally, some practical considerations for efficient implementation of the algorithm are given.
关键词：KeywordsVehicle accelerationController Area NetworkNon-uniformly sampled signal processingLocal Polynomial RegressionSavitzky-Golay FilterComputational complexity