Natural Fault-Tolerant Model-Free Predictive Flux Control in Five-Phase PMSM Drives Under Any-Phase Open-Circuit Fault
The fault-tolerant control strategies always need to not only diagnose open-circuit fault phase but also reconfigure transformation matrix and control structure according to specific fault phase, thus increasing complexity of control algorithm. Furthermore, the parameters of five-phase permanent mag...
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10890945/ |
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| author | Cheng Chen Huawei Zhou Chen Ye Tao Tao |
| author_facet | Cheng Chen Huawei Zhou Chen Ye Tao Tao |
| author_sort | Cheng Chen |
| collection | DOAJ |
| description | The fault-tolerant control strategies always need to not only diagnose open-circuit fault phase but also reconfigure transformation matrix and control structure according to specific fault phase, thus increasing complexity of control algorithm. Furthermore, the parameters of five-phase permanent magnet synchronous motor (PMSM) are susceptible to perturbations under open-circuit fault condition, thus deteriorating operational performance. To address these issues, a natural fault-tolerant model-free predictive flux control (NFT-MFPFC) was proposed. The novelty of proposed strategy lies in the development of an ultra-local model with constant regulation coefficient, and a new extended state observer (ESO) which employed to estimate the stator inductance and the disturbances caused by any-phase open-circuit fault. Based on these, the faulty motor with model-free predictive control can not only operate smoothly under any-phase open-circuit fault condition without fault diagnosis and reconfiguration of control system and transformation matrix, but also have none adjustment of ultra-local model parameter and strong robustness even in the case of parameter mismatch. In addition, the virtual voltage vectors were adopted to restrain the third harmonic currents under both healthy and open-circuit fault conditions. The experimental results were presented to verify the feasibility of proposed strategy. |
| format | Article |
| id | doaj-art-437d9cbf385e4328aa26ede74cd3ddab |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-437d9cbf385e4328aa26ede74cd3ddab2025-08-20T02:14:56ZengIEEEIEEE Access2169-35362025-01-0113318893189810.1109/ACCESS.2025.354259110890945Natural Fault-Tolerant Model-Free Predictive Flux Control in Five-Phase PMSM Drives Under Any-Phase Open-Circuit FaultCheng Chen0https://orcid.org/0000-0002-4078-0182Huawei Zhou1https://orcid.org/0000-0002-5084-0409Chen Ye2Tao Tao3https://orcid.org/0000-0002-5127-4402Department of Electrical and Information Engineering, Jiangsu University, Zhenjiang, ChinaDepartment of Electrical and Information Engineering, Jiangsu University, Zhenjiang, ChinaDepartment of Electrical and Information Engineering, Jiangsu University, Zhenjiang, ChinaDepartment of Electrical and Information Engineering, Jiangsu University, Zhenjiang, ChinaThe fault-tolerant control strategies always need to not only diagnose open-circuit fault phase but also reconfigure transformation matrix and control structure according to specific fault phase, thus increasing complexity of control algorithm. Furthermore, the parameters of five-phase permanent magnet synchronous motor (PMSM) are susceptible to perturbations under open-circuit fault condition, thus deteriorating operational performance. To address these issues, a natural fault-tolerant model-free predictive flux control (NFT-MFPFC) was proposed. The novelty of proposed strategy lies in the development of an ultra-local model with constant regulation coefficient, and a new extended state observer (ESO) which employed to estimate the stator inductance and the disturbances caused by any-phase open-circuit fault. Based on these, the faulty motor with model-free predictive control can not only operate smoothly under any-phase open-circuit fault condition without fault diagnosis and reconfiguration of control system and transformation matrix, but also have none adjustment of ultra-local model parameter and strong robustness even in the case of parameter mismatch. In addition, the virtual voltage vectors were adopted to restrain the third harmonic currents under both healthy and open-circuit fault conditions. The experimental results were presented to verify the feasibility of proposed strategy.https://ieeexplore.ieee.org/document/10890945/Any-phase open-circuit faultfault-tolerant controlmodel-free predictive controlpermanent-magnet synchronous motor (PMSM)ultra-local modelvirtual voltage vector |
| spellingShingle | Cheng Chen Huawei Zhou Chen Ye Tao Tao Natural Fault-Tolerant Model-Free Predictive Flux Control in Five-Phase PMSM Drives Under Any-Phase Open-Circuit Fault IEEE Access Any-phase open-circuit fault fault-tolerant control model-free predictive control permanent-magnet synchronous motor (PMSM) ultra-local model virtual voltage vector |
| title | Natural Fault-Tolerant Model-Free Predictive Flux Control in Five-Phase PMSM Drives Under Any-Phase Open-Circuit Fault |
| title_full | Natural Fault-Tolerant Model-Free Predictive Flux Control in Five-Phase PMSM Drives Under Any-Phase Open-Circuit Fault |
| title_fullStr | Natural Fault-Tolerant Model-Free Predictive Flux Control in Five-Phase PMSM Drives Under Any-Phase Open-Circuit Fault |
| title_full_unstemmed | Natural Fault-Tolerant Model-Free Predictive Flux Control in Five-Phase PMSM Drives Under Any-Phase Open-Circuit Fault |
| title_short | Natural Fault-Tolerant Model-Free Predictive Flux Control in Five-Phase PMSM Drives Under Any-Phase Open-Circuit Fault |
| title_sort | natural fault tolerant model free predictive flux control in five phase pmsm drives under any phase open circuit fault |
| topic | Any-phase open-circuit fault fault-tolerant control model-free predictive control permanent-magnet synchronous motor (PMSM) ultra-local model virtual voltage vector |
| url | https://ieeexplore.ieee.org/document/10890945/ |
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