Dual-Vector-Based Model Predictive Current Control with Online Parameter Identification for Permanent-Magnet Synchronous Motor Drives in Marine Electric Power Propulsion System
Due to its high efficiency, reliability, and environmental benefits, the permanent-magnet synchronous motor (PMSM) is increasingly being used in marine propulsion applications. As a promising solution, finite-control-set model predictive current control (FCS-MPCC) has been gaining attention in marin...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-03-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/13/3/585 |
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| author | Shengqi Huang Yuanwei Zhang Lei Shi Yuqing Huang Bin Chang |
| author_facet | Shengqi Huang Yuanwei Zhang Lei Shi Yuqing Huang Bin Chang |
| author_sort | Shengqi Huang |
| collection | DOAJ |
| description | Due to its high efficiency, reliability, and environmental benefits, the permanent-magnet synchronous motor (PMSM) is increasingly being used in marine propulsion applications. As a promising solution, finite-control-set model predictive current control (FCS-MPCC) has been gaining attention in marine propulsion systems. However, FCS-MPCC for PMSM drives applies only a single switching state within each control cycle. Moreover, its prediction model depends on motor parameters. To address this issue, a dual-vector (DV)-based MPCC (DV-MPCC) incorporating online parameter identification was proposed. Firstly, a DV-MPCC suitable for a two-phase stationary reference frame was introduced. To reduce torque ripple, the DV combination was generated based on the error current vector, and the action time was allocated in accordance with the minimum root mean square error of the current. Furthermore, a model reference adaptive system (MRAS) for multi-parameter identification was developed based on the incremental current state equation. This equation was constructed and used as an adjustable model, enabling accurate estimation of resistance and inductance parameters, even when the flux parameter was completely unknown. Additionally, the proposed method addressed the identification error caused by rank deficiency. Experimental validation confirmed the effectiveness of the proposed method. |
| format | Article |
| id | doaj-art-5efa66ba94c04fa28352a533b594bab8 |
| institution | DOAJ |
| issn | 2077-1312 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj-art-5efa66ba94c04fa28352a533b594bab82025-08-20T02:42:34ZengMDPI AGJournal of Marine Science and Engineering2077-13122025-03-0113358510.3390/jmse13030585Dual-Vector-Based Model Predictive Current Control with Online Parameter Identification for Permanent-Magnet Synchronous Motor Drives in Marine Electric Power Propulsion SystemShengqi Huang0Yuanwei Zhang1Lei Shi2Yuqing Huang3Bin Chang4Shanghai Marine Equipment Research Institute, Shanghai 200031, ChinaShanghai Marine Equipment Research Institute, Shanghai 200031, ChinaShanghai Marine Equipment Research Institute, Shanghai 200031, ChinaShanghai Marine Equipment Research Institute, Shanghai 200031, ChinaShanghai Marine Equipment Research Institute, Shanghai 200031, ChinaDue to its high efficiency, reliability, and environmental benefits, the permanent-magnet synchronous motor (PMSM) is increasingly being used in marine propulsion applications. As a promising solution, finite-control-set model predictive current control (FCS-MPCC) has been gaining attention in marine propulsion systems. However, FCS-MPCC for PMSM drives applies only a single switching state within each control cycle. Moreover, its prediction model depends on motor parameters. To address this issue, a dual-vector (DV)-based MPCC (DV-MPCC) incorporating online parameter identification was proposed. Firstly, a DV-MPCC suitable for a two-phase stationary reference frame was introduced. To reduce torque ripple, the DV combination was generated based on the error current vector, and the action time was allocated in accordance with the minimum root mean square error of the current. Furthermore, a model reference adaptive system (MRAS) for multi-parameter identification was developed based on the incremental current state equation. This equation was constructed and used as an adjustable model, enabling accurate estimation of resistance and inductance parameters, even when the flux parameter was completely unknown. Additionally, the proposed method addressed the identification error caused by rank deficiency. Experimental validation confirmed the effectiveness of the proposed method.https://www.mdpi.com/2077-1312/13/3/585PMSMMPCdual vectormulti-parameter identificationMRAS |
| spellingShingle | Shengqi Huang Yuanwei Zhang Lei Shi Yuqing Huang Bin Chang Dual-Vector-Based Model Predictive Current Control with Online Parameter Identification for Permanent-Magnet Synchronous Motor Drives in Marine Electric Power Propulsion System Journal of Marine Science and Engineering PMSM MPC dual vector multi-parameter identification MRAS |
| title | Dual-Vector-Based Model Predictive Current Control with Online Parameter Identification for Permanent-Magnet Synchronous Motor Drives in Marine Electric Power Propulsion System |
| title_full | Dual-Vector-Based Model Predictive Current Control with Online Parameter Identification for Permanent-Magnet Synchronous Motor Drives in Marine Electric Power Propulsion System |
| title_fullStr | Dual-Vector-Based Model Predictive Current Control with Online Parameter Identification for Permanent-Magnet Synchronous Motor Drives in Marine Electric Power Propulsion System |
| title_full_unstemmed | Dual-Vector-Based Model Predictive Current Control with Online Parameter Identification for Permanent-Magnet Synchronous Motor Drives in Marine Electric Power Propulsion System |
| title_short | Dual-Vector-Based Model Predictive Current Control with Online Parameter Identification for Permanent-Magnet Synchronous Motor Drives in Marine Electric Power Propulsion System |
| title_sort | dual vector based model predictive current control with online parameter identification for permanent magnet synchronous motor drives in marine electric power propulsion system |
| topic | PMSM MPC dual vector multi-parameter identification MRAS |
| url | https://www.mdpi.com/2077-1312/13/3/585 |
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