Sensorless Posture Detection of Reluctance Spherical Motor Based on Mutual Inductance Voltage
In this paper, a sensorless rotor posture detection method based on the mutual inductance voltage of the stator coil is proposed to simplify the position detection element of a reluctance spherical motor. Firstly, the numerical relationship between the stator/rotor pole misalignment angle and the mu...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-04-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/8/3515 |
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| author | Jiazi Xu Qunjing Wang Guoli Li Rui Zhou Yan Wen Lufeng Ju Sili Zhou |
| author_facet | Jiazi Xu Qunjing Wang Guoli Li Rui Zhou Yan Wen Lufeng Ju Sili Zhou |
| author_sort | Jiazi Xu |
| collection | DOAJ |
| description | In this paper, a sensorless rotor posture detection method based on the mutual inductance voltage of the stator coil is proposed to simplify the position detection element of a reluctance spherical motor. Firstly, the numerical relationship between the stator/rotor pole misalignment angle and the mutual inductance voltage of the stator coil is analyzed, which is used as the basis for judging the spatial position of the rotor. Secondly, an experimental platform is designed to verify the consistency between the calculated value and the experimental value of the mutual inductance voltage and to determine the appropriate excitation signal. Thirdly, based on the real-time voltages generated by the stator coil mutual inductance, an intelligent algorithm is used to invert the 3-DoF (degree-of-freedom) position angle of the spherical rotor combined with the motor structure constraints. The experimental results show that the detection method has a good on-line detection effect, and the population standard deviation is within 1.8° Therefore, the developed technique can be used for replacing the position detection method with sensors. |
| first_indexed | 2024-03-10T12:20:13Z |
| format | Article |
| id | doaj.art-5f382a7c54db4637a75734e5ec02d9ba |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T12:20:13Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-5f382a7c54db4637a75734e5ec02d9ba2023-11-21T15:34:46ZengMDPI AGApplied Sciences2076-34172021-04-01118351510.3390/app11083515Sensorless Posture Detection of Reluctance Spherical Motor Based on Mutual Inductance VoltageJiazi Xu0Qunjing Wang1Guoli Li2Rui Zhou3Yan Wen4Lufeng Ju5Sili Zhou6School of Electronics and Information Engineering, Anhui University, Hefei 230601, ChinaSchool of Electrical Engineering and Automation, Anhui University, Hefei 230601, ChinaSchool of Electrical Engineering and Automation, Anhui University, Hefei 230601, ChinaSchool of Electrical Engineering and Automation, Anhui University, Hefei 230601, ChinaSchool of Internet, Anhui University, Hefei 230601, ChinaSchool of Electrical Engineering and Automation, Anhui University, Hefei 230601, ChinaSchool of Electrical Engineering and Automation, Anhui University, Hefei 230601, ChinaIn this paper, a sensorless rotor posture detection method based on the mutual inductance voltage of the stator coil is proposed to simplify the position detection element of a reluctance spherical motor. Firstly, the numerical relationship between the stator/rotor pole misalignment angle and the mutual inductance voltage of the stator coil is analyzed, which is used as the basis for judging the spatial position of the rotor. Secondly, an experimental platform is designed to verify the consistency between the calculated value and the experimental value of the mutual inductance voltage and to determine the appropriate excitation signal. Thirdly, based on the real-time voltages generated by the stator coil mutual inductance, an intelligent algorithm is used to invert the 3-DoF (degree-of-freedom) position angle of the spherical rotor combined with the motor structure constraints. The experimental results show that the detection method has a good on-line detection effect, and the population standard deviation is within 1.8° Therefore, the developed technique can be used for replacing the position detection method with sensors.https://www.mdpi.com/2076-3417/11/8/3515spherical motorattitude detectionswitched reluctancemutual inductance voltageparticle swarm optimization |
| spellingShingle | Jiazi Xu Qunjing Wang Guoli Li Rui Zhou Yan Wen Lufeng Ju Sili Zhou Sensorless Posture Detection of Reluctance Spherical Motor Based on Mutual Inductance Voltage Applied Sciences spherical motor attitude detection switched reluctance mutual inductance voltage particle swarm optimization |
| title | Sensorless Posture Detection of Reluctance Spherical Motor Based on Mutual Inductance Voltage |
| title_full | Sensorless Posture Detection of Reluctance Spherical Motor Based on Mutual Inductance Voltage |
| title_fullStr | Sensorless Posture Detection of Reluctance Spherical Motor Based on Mutual Inductance Voltage |
| title_full_unstemmed | Sensorless Posture Detection of Reluctance Spherical Motor Based on Mutual Inductance Voltage |
| title_short | Sensorless Posture Detection of Reluctance Spherical Motor Based on Mutual Inductance Voltage |
| title_sort | sensorless posture detection of reluctance spherical motor based on mutual inductance voltage |
| topic | spherical motor attitude detection switched reluctance mutual inductance voltage particle swarm optimization |
| url | https://www.mdpi.com/2076-3417/11/8/3515 |
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