文章基本信息

标题：Immersion based observer for the switched reluctance motor ⁎
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作者：Alejandra de la Guerra ; Alejandro Gutierrez Giles ; Gildas Besançon 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：5934-5939
DOI：10.1016/j.ifacol.2020.12.1645
语种：English
出版社：Elsevier
摘要：AbstractThis article presents a high-gain Kalman-like observer for the switched reluctance motor that can reconstruct the angular position and velocity from the measured variables,i.e., stator currents and voltages. This is possible after the results obtained from an observability analysis, which in turn permits the application of an immersion to transform the motor model into a suitable form for the observer implementation. Numerical simulations are incorporated to explain and validate the observer design. The procedure includes an active phase detection stage and a current-based speed controller that defines the commutation required for this kind of motors. The proposed observer is capable of reconstructing the mechanical variables (rotor position and speed) by employing only electrical ones (currents and voltages).
关键词：Keywordsswitched reluctance motorsobserversobservabilitysensorless control