Cascaded speed and current model of PMSM with ultra‐local model‐free predictive control
Abstract During the operation of a permanent magnet synchronous motor (PMSM), the control system is impacted by changes in the internal parameters and by external disturbances, resulting in reduced accuracy. The robustness and anti‐interference ability of a PMSM can be improved using a speed loop‐cu...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-11-01
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| Series: | IET Electric Power Applications |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/elp2.12108 |
| _version_ | 1811183293859627008 |
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| author | Lingliang Xu Guiming Chen Qiaoyang Li |
| author_facet | Lingliang Xu Guiming Chen Qiaoyang Li |
| author_sort | Lingliang Xu |
| collection | DOAJ |
| description | Abstract During the operation of a permanent magnet synchronous motor (PMSM), the control system is impacted by changes in the internal parameters and by external disturbances, resulting in reduced accuracy. The robustness and anti‐interference ability of a PMSM can be improved using a speed loop‐current loop integrated predictive control method. First, a PMSM mathematical model is constructed considering parameter changes and external disturbances. Second, using only the input and output of the speed loop and the current loop, without involving any motor parameters, an ultra‐local model‐free predictive control model of the speed loop and the current loop is built; this model has a lower sensitivity to parameter changes. Finally, to improve the tracking accuracy for speed and current, an extended state observer (ESO) and a disturbance observation compensator (DOC) are established to observe the total disturbance of system in real time and perform feedforward compensation. The experimental results show that the control model has strong robustness and anti‐interference ability, high stability, high speed, and capable current‐tracking performance. |
| first_indexed | 2024-04-11T09:45:38Z |
| format | Article |
| id | doaj.art-a9205586e13f4c268558f3197bff5a10 |
| institution | Directory Open Access Journal |
| issn | 1751-8660 1751-8679 |
| language | English |
| last_indexed | 2024-04-11T09:45:38Z |
| publishDate | 2021-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Electric Power Applications |
| spelling | doaj.art-a9205586e13f4c268558f3197bff5a102022-12-22T04:31:05ZengWileyIET Electric Power Applications1751-86601751-86792021-11-0115111424143710.1049/elp2.12108Cascaded speed and current model of PMSM with ultra‐local model‐free predictive controlLingliang Xu0Guiming Chen1Qiaoyang Li2Xi’an Research Institute of High‐Tech Xi'an ChinaXi’an Research Institute of High‐Tech Xi'an ChinaXi’an Research Institute of High‐Tech Xi'an ChinaAbstract During the operation of a permanent magnet synchronous motor (PMSM), the control system is impacted by changes in the internal parameters and by external disturbances, resulting in reduced accuracy. The robustness and anti‐interference ability of a PMSM can be improved using a speed loop‐current loop integrated predictive control method. First, a PMSM mathematical model is constructed considering parameter changes and external disturbances. Second, using only the input and output of the speed loop and the current loop, without involving any motor parameters, an ultra‐local model‐free predictive control model of the speed loop and the current loop is built; this model has a lower sensitivity to parameter changes. Finally, to improve the tracking accuracy for speed and current, an extended state observer (ESO) and a disturbance observation compensator (DOC) are established to observe the total disturbance of system in real time and perform feedforward compensation. The experimental results show that the control model has strong robustness and anti‐interference ability, high stability, high speed, and capable current‐tracking performance.https://doi.org/10.1049/elp2.12108machine controlpredictive controlsynchronous motorsfeedforwardpermanent magnet motorsangular velocity control |
| spellingShingle | Lingliang Xu Guiming Chen Qiaoyang Li Cascaded speed and current model of PMSM with ultra‐local model‐free predictive control IET Electric Power Applications machine control predictive control synchronous motors feedforward permanent magnet motors angular velocity control |
| title | Cascaded speed and current model of PMSM with ultra‐local model‐free predictive control |
| title_full | Cascaded speed and current model of PMSM with ultra‐local model‐free predictive control |
| title_fullStr | Cascaded speed and current model of PMSM with ultra‐local model‐free predictive control |
| title_full_unstemmed | Cascaded speed and current model of PMSM with ultra‐local model‐free predictive control |
| title_short | Cascaded speed and current model of PMSM with ultra‐local model‐free predictive control |
| title_sort | cascaded speed and current model of pmsm with ultra local model free predictive control |
| topic | machine control predictive control synchronous motors feedforward permanent magnet motors angular velocity control |
| url | https://doi.org/10.1049/elp2.12108 |
| work_keys_str_mv | AT lingliangxu cascadedspeedandcurrentmodelofpmsmwithultralocalmodelfreepredictivecontrol AT guimingchen cascadedspeedandcurrentmodelofpmsmwithultralocalmodelfreepredictivecontrol AT qiaoyangli cascadedspeedandcurrentmodelofpmsmwithultralocalmodelfreepredictivecontrol |