ANN-Based Online Parameter Correction for PMSM Control Using Sphere Decoding Algorithm
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| Názov: | ANN-Based Online Parameter Correction for PMSM Control Using Sphere Decoding Algorithm |
|---|---|
| Autori: | Joseph O. Akinwumi, Yuan Gao, Xin Yuan, Sergio Vazquez, Harold S. Ruiz |
| Zdroj: | Sensors ; Volume 26 ; Issue 2 ; Pages: 553 |
| Informácie o vydavateľovi: | Multidisciplinary Digital Publishing Institute |
| Rok vydania: | 2026 |
| Zbierka: | MDPI Open Access Publishing |
| Predmety: | sphere decoding algorithm, permanent magnet synchronous motor, artificial neural network, model predictive control |
| Popis: | This work addresses parameter mismatch in Permanent Magnet Synchronous Motor (PMSM) drives, focusing on performance degradation caused by variations in flux linkage and inductance arising under realistic operating uncertainties. An artificial neural network (ANN) is trained to estimate these parameter shifts and update the controller model online. The procedure comprises three steps: (i) data generation using Sphere Decoding Algorithm-based Model Predictive Control (SDA-MPC) across a mismatch range of ±50%; (ii) offline ANN training to map measured features to parameter estimates; and (iii) online ANN deployment to update model parameters within the SDA-MPC loop. MATLAB /Simulink simulations show that ANN-based compensation can improve current tracking and THD under many mismatch conditions, although in some cases—particularly when inductance is overestimated—THD may increase relative to nominal operation. When parameters return to nominal values the ANN adapts accordingly, steering the controller back toward baseline performance. The data-driven adaptation enhances robustness with modest computational overhead. Future work includes hardware-in-the-loop (HIL) testing and explicit experimental study of temperature-dependent effects. |
| Druh dokumentu: | text |
| Popis súboru: | application/pdf |
| Jazyk: | English |
| Relation: | Intelligent Sensors; https://dx.doi.org/10.3390/s26020553 |
| DOI: | 10.3390/s26020553 |
| Dostupnosť: | https://doi.org/10.3390/s26020553 |
| Rights: | https://creativecommons.org/licenses/by/4.0/ |
| Prístupové číslo: | edsbas.4BFE3319 |
| Databáza: | BASE |
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