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المؤلفMasoudi, Siamak
المؤلفMehrjerdi, Mehrjerdi
تاريخ الإتاحة2022-11-14T10:49:07Z
تاريخ النشر2022
اسم المنشورIEEE Transactions on Power Electronics
المصدرScopus
المصدر2-s2.0-85122479638
معرّف المصادر الموحدhttp://dx.doi.org/10.1109/TPEL.2021.3125606
معرّف المصادر الموحدhttp://hdl.handle.net/10576/36300
الملخصSwitched reluctance motors are nonlinear systems with some uncertainties and unmodeled dynamics. Propulsion force and speed in these motors have inherently high fluctuations complicating their applications. The conventional controllers could not offer a precise performance for nonlinear systems because they require analytical calculations of the partial derivatives. Accordingly, in this article, a multilayer perception is presented to overcome this problem and control a linear motor. Training algorithms require a complete dataset of the system output, which complicates their implementation. To solve this problem, a Kalman filter is used to estimate uncertain parameters. Thus, the proposed control system does not require a complete dataset of the system. It can process data and predict the next values in a short time without complete observations. The proposed control strategy is implemented to a linear switched reluctance motor and the results are compared with two other conventional methods via simulation and experimental tests. The results confirm the ability and accuracy of the proposed method. 2012 IEEE.
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعLinear motors
Multilayers
Reluctance motors
Uncertainty analysis
Analytical calculation
Conventional controllers
Linear switched reluctance motor
Multi-layer perception
Partial derivatives
Performance
Propulsion force
Switched Reluctance Motor - SRM
Uncertainty
Unmodeled dynamics
Nonlinear systems
العنوانA Multilayer Perception Trained Method in Speed Control of a Linear Switched Reluctance Motor
النوعArticle
الصفحات4475-4483
رقم العدد4
رقم المجلد37
dc.accessType Abstract Only


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