Finite control‐set model predictive direct speed control of a PMSM drive based on the Taylor series model
Abstract In the traditional finite control‐set model predictive direct speed control (FCS‐MPDSC), the coupling items in the current equation have been ignored because of predictive complexity, leading to imperfect prediction accuracy and control performance. Meanwhile, the current error and speed er...
| 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/elp2.12112 |
| _version_ | 1811281435126923264 |
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| author | Huimin Wang Senkai Zhang Wei Liu Qiang Geng Zhanqing Zhou |
| author_facet | Huimin Wang Senkai Zhang Wei Liu Qiang Geng Zhanqing Zhou |
| author_sort | Huimin Wang |
| collection | DOAJ |
| description | Abstract In the traditional finite control‐set model predictive direct speed control (FCS‐MPDSC), the coupling items in the current equation have been ignored because of predictive complexity, leading to imperfect prediction accuracy and control performance. Meanwhile, the current error and speed error are both included in the weighted sum cost function. The two types of errors lead to the difficulty of weight coefficients' distribution, which can only rely on subjective experiences. Thus, an FCS‐MPDSC strategy based on the 2nd‐Taylor‐series model with quadratic cost function is proposed. The dynamic performance has been greatly improved because the input variables of the Taylor series model are unified as the basic voltage vector with the same control period. And the static error is also reduced as the weight coefficient matrix of the quadratic cost function is solved offline. On this basis, the verification experiments are carried out. The results show that a better dynamic and static performance is achieved at the same time by the proposed strategy. |
| first_indexed | 2024-04-13T01:32:27Z |
| format | Article |
| id | doaj.art-d60a3f64546840668bde3955d64fa954 |
| institution | Directory Open Access Journal |
| issn | 1751-8660 1751-8679 |
| language | English |
| last_indexed | 2024-04-13T01:32:27Z |
| publishDate | 2021-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Electric Power Applications |
| spelling | doaj.art-d60a3f64546840668bde3955d64fa9542022-12-22T03:08:28ZengWileyIET Electric Power Applications1751-86601751-86792021-11-0115111452146510.1049/elp2.12112Finite control‐set model predictive direct speed control of a PMSM drive based on the Taylor series modelHuimin Wang0Senkai Zhang1Wei Liu2Qiang Geng3Zhanqing Zhou4School of Electrical and Electronic Engineering Tiangong University Tianjin ChinaSchool of Electrical and Electronic Engineering Tiangong University Tianjin ChinaNational Local Joint Engineering Research Center of Electric Machine System Design and Manufacturing Tiangong University Tianjin ChinaSchool of Electrical and Electronic Engineering Tiangong University Tianjin ChinaSchool of Artificial Intelligence Tiangong University Tianjin ChinaAbstract In the traditional finite control‐set model predictive direct speed control (FCS‐MPDSC), the coupling items in the current equation have been ignored because of predictive complexity, leading to imperfect prediction accuracy and control performance. Meanwhile, the current error and speed error are both included in the weighted sum cost function. The two types of errors lead to the difficulty of weight coefficients' distribution, which can only rely on subjective experiences. Thus, an FCS‐MPDSC strategy based on the 2nd‐Taylor‐series model with quadratic cost function is proposed. The dynamic performance has been greatly improved because the input variables of the Taylor series model are unified as the basic voltage vector with the same control period. And the static error is also reduced as the weight coefficient matrix of the quadratic cost function is solved offline. On this basis, the verification experiments are carried out. The results show that a better dynamic and static performance is achieved at the same time by the proposed strategy.https://doi.org/10.1049/elp2.12112machine controlpredictive controlvelocity controlpermanent magnet motorssynchronous motor drivesangular velocity control |
| spellingShingle | Huimin Wang Senkai Zhang Wei Liu Qiang Geng Zhanqing Zhou Finite control‐set model predictive direct speed control of a PMSM drive based on the Taylor series model IET Electric Power Applications machine control predictive control velocity control permanent magnet motors synchronous motor drives angular velocity control |
| title | Finite control‐set model predictive direct speed control of a PMSM drive based on the Taylor series model |
| title_full | Finite control‐set model predictive direct speed control of a PMSM drive based on the Taylor series model |
| title_fullStr | Finite control‐set model predictive direct speed control of a PMSM drive based on the Taylor series model |
| title_full_unstemmed | Finite control‐set model predictive direct speed control of a PMSM drive based on the Taylor series model |
| title_short | Finite control‐set model predictive direct speed control of a PMSM drive based on the Taylor series model |
| title_sort | finite control set model predictive direct speed control of a pmsm drive based on the taylor series model |
| topic | machine control predictive control velocity control permanent magnet motors synchronous motor drives angular velocity control |
| url | https://doi.org/10.1049/elp2.12112 |
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