Integrated Predictive Control of PMLSM Current and Velocity Based on ST-SMO
To enhance the control performance of a permanent magnet linear synchronous motor (PMLSM) and to improve its dynamic response performance and steady-state accuracy, a PMLSM model predictive integrated control (MPC) system based on a super-twisting sliding mode observer (ST-SMO) is proposed. Accordin...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/15/5504 |
| _version_ | 1797414039212523520 |
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| author | Shenhui Du Zihao Zhang Jinsong Wang Kangtao Wang Hui Zhao Zheng Li |
| author_facet | Shenhui Du Zihao Zhang Jinsong Wang Kangtao Wang Hui Zhao Zheng Li |
| author_sort | Shenhui Du |
| collection | DOAJ |
| description | To enhance the control performance of a permanent magnet linear synchronous motor (PMLSM) and to improve its dynamic response performance and steady-state accuracy, a PMLSM model predictive integrated control (MPC) system based on a super-twisting sliding mode observer (ST-SMO) is proposed. According to the mathematical model of a PMLSM, this paper designs a three-step model to predict the comprehensive control correction factor, optimize the prediction speed and current, reduce the response time, and enhance the system’s stability. Meanwhile, in order to solve the problem of the PMLSM’s high dependence on mechanical sensors, the ST-SMO is introduced to observe the rotation speed of PMLSM, which has better tracking performance and observation accuracy than a traditional sliding mode observer (SMO). Finally, the experimental verification is carried out on the PMLSM experimental platform. The software simulation and hardware experiment results show that the control system designed in this paper not only simplifies the overall structure of the system, but it also has better control performance and tracking ability. Compared with traditional control methods and SMO, it has better control performance, stability, and speed-tracking performance. |
| first_indexed | 2024-03-09T05:27:18Z |
| format | Article |
| id | doaj.art-631081d8ec00469ca4b141dd72a1f0ca |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T05:27:18Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-631081d8ec00469ca4b141dd72a1f0ca2023-12-03T12:35:31ZengMDPI AGEnergies1996-10732022-07-011515550410.3390/en15155504Integrated Predictive Control of PMLSM Current and Velocity Based on ST-SMOShenhui Du0Zihao Zhang1Jinsong Wang2Kangtao Wang3Hui Zhao4Zheng Li5School of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, ChinaSchool of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, ChinaSchool of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, ChinaSchool of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, ChinaSchool of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, ChinaSchool of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, ChinaTo enhance the control performance of a permanent magnet linear synchronous motor (PMLSM) and to improve its dynamic response performance and steady-state accuracy, a PMLSM model predictive integrated control (MPC) system based on a super-twisting sliding mode observer (ST-SMO) is proposed. According to the mathematical model of a PMLSM, this paper designs a three-step model to predict the comprehensive control correction factor, optimize the prediction speed and current, reduce the response time, and enhance the system’s stability. Meanwhile, in order to solve the problem of the PMLSM’s high dependence on mechanical sensors, the ST-SMO is introduced to observe the rotation speed of PMLSM, which has better tracking performance and observation accuracy than a traditional sliding mode observer (SMO). Finally, the experimental verification is carried out on the PMLSM experimental platform. The software simulation and hardware experiment results show that the control system designed in this paper not only simplifies the overall structure of the system, but it also has better control performance and tracking ability. Compared with traditional control methods and SMO, it has better control performance, stability, and speed-tracking performance.https://www.mdpi.com/1996-1073/15/15/5504permanent magnet linear synchronous motormodel predictive integrated controlsuper-twisting sliding mode observerintegrated speed and current control |
| spellingShingle | Shenhui Du Zihao Zhang Jinsong Wang Kangtao Wang Hui Zhao Zheng Li Integrated Predictive Control of PMLSM Current and Velocity Based on ST-SMO Energies permanent magnet linear synchronous motor model predictive integrated control super-twisting sliding mode observer integrated speed and current control |
| title | Integrated Predictive Control of PMLSM Current and Velocity Based on ST-SMO |
| title_full | Integrated Predictive Control of PMLSM Current and Velocity Based on ST-SMO |
| title_fullStr | Integrated Predictive Control of PMLSM Current and Velocity Based on ST-SMO |
| title_full_unstemmed | Integrated Predictive Control of PMLSM Current and Velocity Based on ST-SMO |
| title_short | Integrated Predictive Control of PMLSM Current and Velocity Based on ST-SMO |
| title_sort | integrated predictive control of pmlsm current and velocity based on st smo |
| topic | permanent magnet linear synchronous motor model predictive integrated control super-twisting sliding mode observer integrated speed and current control |
| url | https://www.mdpi.com/1996-1073/15/15/5504 |
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