Sliding Mode Self-Sensing Control of Synchronous Machine Using Super Twisting Interconnected Observers
Mohamed R. Kafi,
Mohamed A. Hamida,
Hicham Chaoui and
Rabie Belkacemi
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Mohamed R. Kafi: Laboratoire de Génie Electrique, University Kasdi Merbah Ouargla, Ouargla 30000, Algeria
Mohamed A. Hamida: Ecole Centrale de Nantes, LS2N UMR CNRS 6004, 44200 Nantes, France
Hicham Chaoui: Intelligent Robotic and Energy Systems (IRES), Department of Electronics, Carleton University, 1125 Colonel By Dr, Ottawa, ON K1S 5B6, Canada
Rabie Belkacemi: Center for Energy Systems Research, Tennessee Technological University, Cookeville, TN 38505, USA
Energies, 2020, vol. 13, issue 16, 1-19
Abstract:
The aim of this study is to propose a self-sensing control of internal permanent-magnet synchronous machines (IPMSMs) based on new high order sliding mode approaches. The high order sliding mode control will be combined with the backstepping strategy to achieve global or semi global attraction and ensure finite time convergence. The proposed control strategy should be able to reject the unmatched perturbations and reject the external perturbation. On the other hand, the super-twisting algorithm will be combined with the interconnected observer methodology to propose the multi-input–multi-output observer. This observer will be used to estimate the rotor position, the rotor speed and the stator resistance. The proposed controller and observer ensure the finite-time convergence to the desired reference and measured state, respectively. The obtained results confirm the effectiveness of the suggested method in the presence of parametric uncertainties and unmeasured load torque at various speed ranges.
Keywords: self-sensing control; super twisting algorithm; synchronous machine; high order sliding mode; robust control; chattering phenomena (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:16:p:4199-:d:398881
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