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المؤلفMossa, M. A.
المؤلفEcheikh, H.
المؤلفIqbal, Atif
المؤلفDo, T. D.
المؤلفAl-Sumaiti, A. S.
تاريخ الإتاحة2022-03-31T08:05:52Z
تاريخ النشر2020
اسم المنشورApplied Sciences (Switzerland)
المصدرScopus
المعرّفhttp://dx.doi.org/10.3390/APP10082776
معرّف المصادر الموحدhttp://hdl.handle.net/10576/29135
الملخصThis paper aims to develop an innovative sensorless control approach for a five-phase induction motor (IM) drive. The operation principle of the sensorless scheme is based on the sliding mode theory, within which a sliding mode observer (SMO) estimates the speed and rotor resistance simultaneously. The operation methodology of the proposed control technique is formulated using the mathematical model of the machine and the two-time-scale approach. The observation technique offers a simple and robust solution of speed and rotor resistance estimation for the sensorless control approach of the multiphase drive. The paper considers the five-phase induction motor (IM) as a case study; however, the proposed control algorithm can be employed by different types of multiphase machines. To test the applicability of the proposed sensorless control approach, the drive performance is firstly validated using MATLAB/Simulink-based simulation. Then, the simulation results are verified using real-time simulation and experimentally using TMS320C32 DSP-based control board. The obtained results confirm and validate the ability of the proposed control procedure in achieving a robust dynamic performance of the drive against the system uncertainties such as parameter variation.
راعي المشروعThis research was supported by department of electrical engineering and computer science, Khalifa University, Abu Dhabi 127788, UAE.
اللغةen
الناشرMDPI AG
الموضوعExperimental validation
Five-phase IM
Multiphase machine
Sensorless operation
Sliding mode observer
العنوانA novel sensorless control for multiphase induction motor drives based on singularly perturbed sliding mode observer-experimental validation
النوعArticle
رقم العدد8
رقم المجلد10
dc.accessType Open Access


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