Online Identification of PMSM Q-Axis Apparent Inductance Using a PWM-Based Estimator

Online Identification of PMSM Q-Axis Apparent Inductance Using a PWM-Based Estimator | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 18 February 2026 V1 Latest version Share on Online Identification of PMSM Q-Axis Apparent Inductance Using a PWM-Based Estimator Authors : Saleh B Shlimet 0009-0001-2084-6180 [email protected] , Aboajela Lahrash , Hassan Algammodi , and Farag A Farag Authors Info & Affiliations https://doi.org/10.22541/au.177145209.99357759/v1 81 views 70 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract This paper introduces an estimator for the online identification of 𝐿 𝑞 that obviates both the integration stage and dependence on stator resistance. The proposed method is fundamentally a flux-based Model Reference Adaptive System (MRAS) but utilizes the natural excitation provided by a standard Space-Vector Pulse Width Modulation (SV-PWM) pattern. By oversampling the stator current within a single PWM switching period and leveraging the averaging properties of the applied voltage vectors, the estimator directly reconstructs the q-axis flux linkage without requiring explicit integration of terminal voltages. Consequently, the derived adaptation mechanism is rendered independent of stator resistance and immune to DC offset integration errors. A comprehensive comparative simulation study, implemented in MATLAB/Simulink, validates the estimator's performance against the classical fluxintegration-based MRAS across a rigorous set of operational scenarios. Results unequivocally demonstrate the superior accuracy, dynamic response, and parametric robustness of the proposed PWM-based method, particularly under stator resistance variation, speed sensor inaccuracy, and operating point transitions, including zero-speed crossing and regeneration modes. Supplementary Material File (manuscript_lq.pdf) Download 1000.71 KB Information & Authors Information Version history V1 Version 1 18 February 2026 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords foc inductance identification model reference adaptive system (mras) pmsm sv-pwm Authors Affiliations Saleh B Shlimet 0009-0001-2084-6180 [email protected] Department of Renewable Energy, The Higher Institute of Science and Technology View all articles by this author Aboajela Lahrash Department of Electronic and Electrical Engineering, The University of Sheffield View all articles by this author Hassan Algammodi View all articles by this author Farag A Farag Department of Renewable Energy, The Higher Institute of Science and Technology View all articles by this author Metrics & Citations Metrics Article Usage 81 views 70 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Saleh B Shlimet, Aboajela Lahrash, Hassan Algammodi, et al. Online Identification of PMSM Q-Axis Apparent Inductance Using a PWM-Based Estimator. Authorea . 18 February 2026. DOI: https://doi.org/10.22541/au.177145209.99357759/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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