Szczegóły publikacji

Opis bibliograficzny

Real time implementation for robust adaptive sliding mode predictive control of PMSM / Rachid Ibrahimi, Mohamed said Adouairi, Abdennabi Morchid, Badre Bossoufi, Paweł SKRUCH, Saleh Mobayen // Unconventional Resources [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN  2666-5190 . — 2026 — vol. 10 art. no. 100304, s. 1-11. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 11, Abstr. — Publikacja dostępna online od: 2026-01-02

Autorzy (6)

  • Ibrahimi Rachid
  • said Adouairi Mohamed
  • Morchid Abdennabi
  • Bossoufi Badre
  • AGHSkruch Paweł
  • Mobayen Saleh

Słowa kluczowe

adaptive integral sliding mode predictive controlpermanent magnet synchronous machinemodel in the loopprocessor in the loopsoftware in the loopv-cycle

Dane bibliometryczne

ID BaDAP165927
Data dodania do BaDAP2026-03-09
Tekst źródłowyURL
DOI10.1016/j.uncres.2026.100304
Rok publikacji2026
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaUnconventional Resources

Abstract

Model Predictive Control is recognized as a promising approach for electric drives, with particular interest in the development of robust and high-performance predictive models. In this work, we propose an Adaptive Integral Sliding Mode Predictive Control for Permanent Magnet Synchronous Motors, combining a predictive model with an adaptive law based on the integral sliding mode. This method automatically adjusts the sliding function limit, reducing the chattering phenomenon while enhancing the system dynamics. To ensure compatibility with industrial electronic boards, the Adaptive Integral Sliding Mode Predictive Control was implemented following the V-cycle development process, including Model-in-the-Loop, Software-in-the-Loop, and Processor-in-the-Loop validation. This framework facilitates the deployment of embedded control software in the automotive sector and provides a cost-effective evaluation of the hardware implementation. Furthermore, real-time simulations of control, Invariant Sliding Mode Predictive Control, and Sliding Mode Control configurations were carried out on the dSPACE DS1104 platform, showing excellent correlation with MATLAB/Simulink results. Experimental validation on the STM32F4 board confirms that the proposed approach offers faster response to load torque disturbances and better performance over a wide speed range, demonstrating its reliability, robustness, and effectiveness.

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