Senseless Control of Permanent Magnet Synchronous Motors Based on New Fuzzy Adaptive Sliding Mode Observer
Based on the problems of sliding mode observer (SMO), such as strong parameter dependency, large overshoot, and severe inherent sliding mode chattering, this paper studies fuzzy control in depth using a sigmoid (s) function with smooth and continuous characteristics instead of a discontinuous symbol...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/12/15/3266 |
| _version_ | 1797586875479752704 |
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| author | Guozhong Yao Xianxiang Wang Zhengjiang Wang Yuhan Xiao |
| author_facet | Guozhong Yao Xianxiang Wang Zhengjiang Wang Yuhan Xiao |
| author_sort | Guozhong Yao |
| collection | DOAJ |
| description | Based on the problems of sliding mode observer (SMO), such as strong parameter dependency, large overshoot, and severe inherent sliding mode chattering, this paper studies fuzzy control in depth using a sigmoid (s) function with smooth and continuous characteristics instead of a discontinuous symbolic function to design a new type of fuzzy sliding mode observer. Firstly, the boundary layer thickness was introduced to enable the system to achieve adaptive sliding mode gain adjustment based on the system state. Then, based on PLL technology, PI adjustment was used to obtain rotor position information. Finally, in order to verify the effectiveness of the new method, a model was built for experimental verification, and the simulation waveforms of the traditional sliding mode observer and the new fuzzy sliding mode observer were compared. The results show that the new fuzzy sliding mode observer can more accurately estimate rotor position and speed information. Under the same operating conditions, the rotational speed estimation error is only 3 r/min, the rotor position error is reduced by 0.1 rad, the overshoot is smaller, and the chattering is significantly reduced. |
| first_indexed | 2024-03-11T00:29:21Z |
| format | Article |
| id | doaj.art-5d25c82d7be74a719668f5823ff8b71c |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T00:29:21Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-5d25c82d7be74a719668f5823ff8b71c2023-11-18T22:48:43ZengMDPI AGElectronics2079-92922023-07-011215326610.3390/electronics12153266Senseless Control of Permanent Magnet Synchronous Motors Based on New Fuzzy Adaptive Sliding Mode ObserverGuozhong Yao0Xianxiang Wang1Zhengjiang Wang2Yuhan Xiao3Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650504, ChinaFaculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650504, ChinaFaculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650504, ChinaFaculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650504, ChinaBased on the problems of sliding mode observer (SMO), such as strong parameter dependency, large overshoot, and severe inherent sliding mode chattering, this paper studies fuzzy control in depth using a sigmoid (s) function with smooth and continuous characteristics instead of a discontinuous symbolic function to design a new type of fuzzy sliding mode observer. Firstly, the boundary layer thickness was introduced to enable the system to achieve adaptive sliding mode gain adjustment based on the system state. Then, based on PLL technology, PI adjustment was used to obtain rotor position information. Finally, in order to verify the effectiveness of the new method, a model was built for experimental verification, and the simulation waveforms of the traditional sliding mode observer and the new fuzzy sliding mode observer were compared. The results show that the new fuzzy sliding mode observer can more accurately estimate rotor position and speed information. Under the same operating conditions, the rotational speed estimation error is only 3 r/min, the rotor position error is reduced by 0.1 rad, the overshoot is smaller, and the chattering is significantly reduced.https://www.mdpi.com/2079-9292/12/15/3266sliding mode controlfuzzy controlPLLsynovial buffetingadaptive sliding mode gain |
| spellingShingle | Guozhong Yao Xianxiang Wang Zhengjiang Wang Yuhan Xiao Senseless Control of Permanent Magnet Synchronous Motors Based on New Fuzzy Adaptive Sliding Mode Observer Electronics sliding mode control fuzzy control PLL synovial buffeting adaptive sliding mode gain |
| title | Senseless Control of Permanent Magnet Synchronous Motors Based on New Fuzzy Adaptive Sliding Mode Observer |
| title_full | Senseless Control of Permanent Magnet Synchronous Motors Based on New Fuzzy Adaptive Sliding Mode Observer |
| title_fullStr | Senseless Control of Permanent Magnet Synchronous Motors Based on New Fuzzy Adaptive Sliding Mode Observer |
| title_full_unstemmed | Senseless Control of Permanent Magnet Synchronous Motors Based on New Fuzzy Adaptive Sliding Mode Observer |
| title_short | Senseless Control of Permanent Magnet Synchronous Motors Based on New Fuzzy Adaptive Sliding Mode Observer |
| title_sort | senseless control of permanent magnet synchronous motors based on new fuzzy adaptive sliding mode observer |
| topic | sliding mode control fuzzy control PLL synovial buffeting adaptive sliding mode gain |
| url | https://www.mdpi.com/2079-9292/12/15/3266 |
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