%0 Conference Paper %F Oral %T A New Approach for Online Stator Fault Diagnosis in PMSM Based on Robust Gain Scheduled H∞ LPV Current Observer %+ Laboratoire des technologies innovantes - UR UPJV 3899 (LTI) %A Khamari, D. %A Bouchareb, C. %A Benlaloui, I. %A Benmessaoud, F. %A Boutabba, T. %A Chrifi-Alaoui, L. %< avec comité de lecture %B International Conference on Control, Automation and Diagnosis (ICCAD’21) %C Grenoble, France %I Institute of Electrical and Electronics Engineers Inc. %S 2021 International Conference on Control, Automation and Diagnosis, ICCAD 2021 %8 2021-11-03 %D 2021 %R 10.1109/ICCAD52417.2021.9638764 %Z Engineering Sciences [physics]Conference papers %X A new online Stator winding faults detection in PMSM based on robust gain scheduled H∞ LPV current observer is proposed in this paper. The stator resistance was taking as varying parameters to improve the robustness of current observer. Therefore, the original synthesis is based on LPV systems theory. The question of stability is addressed in the terms of Lyapunov quadratic stability by using an LMI convex optimization. The robust residual generation can be formulated as an optimization problem. On the one hand, this formulation reduces residual sensitivity compared to varying parameters. On the other hand, it works to maximize this sensitivity compared to faults. The effectiveness of the proposed approach can be demonstrated through simulation results. \textcopyright 2021 IEEE. %G English %L hal-03681740 %U https://u-picardie.hal.science/hal-03681740 %~ UNIV-PICARDIE %~ U-PICARDIE %~ LTI