High-integrated micro permanent magnet linear actuator positioning system
A tunnel magnetic resistance (TMR) sensor is a magnetic detection sensor with low power consumption and high sensitivity. The TMR sensor has promising applications in the position detection of micro permanent magnet linear actuators since the surrounding magnetic field of the micro actuator in this...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-10-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S235248472300940X |
| _version_ | 1827582136764334080 |
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| author | Yixuan Zhang Qiwei Xu Yun Yang Longjiang Gao Yizhou Zhao |
| author_facet | Yixuan Zhang Qiwei Xu Yun Yang Longjiang Gao Yizhou Zhao |
| author_sort | Yixuan Zhang |
| collection | DOAJ |
| description | A tunnel magnetic resistance (TMR) sensor is a magnetic detection sensor with low power consumption and high sensitivity. The TMR sensor has promising applications in the position detection of micro permanent magnet linear actuators since the surrounding magnetic field of the micro actuator in this paper will be changed by its movement. Firstly, according to the air-gap magnetic field distribution characteristics of the micro permanent magnet linear actuator and the detection principle of the TMR sensor, the integrated installation parameters of TMR sensors were determined. Then, with the help of TMR technology, the backpropagation neural network (BPNN) algorithm and improved BPNN using particle swarm optimization (PSO) algorithm were used to study the position identification strategy of the slider, and the algorithm strategy with the minimum error was selected. Finally, the experimental results show that the slider position identification strategy based on the PSO-BPNN algorithm can achieve position tracking error within 0.1 mm under the given step position tracking and sinusoidal position tracking, and the movements can be repeated well. |
| first_indexed | 2024-03-08T22:46:12Z |
| format | Article |
| id | doaj.art-5a19a1ac6e164e4ea7c50808a6863c75 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-08T22:46:12Z |
| publishDate | 2023-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-5a19a1ac6e164e4ea7c50808a6863c752023-12-17T06:39:23ZengElsevierEnergy Reports2352-48472023-10-0199901002High-integrated micro permanent magnet linear actuator positioning systemYixuan Zhang0Qiwei Xu1Yun Yang2Longjiang Gao3Yizhou Zhao4State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Shapingba District, Chongqing 400044, ChinaState Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Shapingba District, Chongqing 400044, ChinaState Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Shapingba District, Chongqing 400044, ChinaState Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Shapingba District, Chongqing 400044, ChinaCorresponding author.; State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Shapingba District, Chongqing 400044, ChinaA tunnel magnetic resistance (TMR) sensor is a magnetic detection sensor with low power consumption and high sensitivity. The TMR sensor has promising applications in the position detection of micro permanent magnet linear actuators since the surrounding magnetic field of the micro actuator in this paper will be changed by its movement. Firstly, according to the air-gap magnetic field distribution characteristics of the micro permanent magnet linear actuator and the detection principle of the TMR sensor, the integrated installation parameters of TMR sensors were determined. Then, with the help of TMR technology, the backpropagation neural network (BPNN) algorithm and improved BPNN using particle swarm optimization (PSO) algorithm were used to study the position identification strategy of the slider, and the algorithm strategy with the minimum error was selected. Finally, the experimental results show that the slider position identification strategy based on the PSO-BPNN algorithm can achieve position tracking error within 0.1 mm under the given step position tracking and sinusoidal position tracking, and the movements can be repeated well.http://www.sciencedirect.com/science/article/pii/S235248472300940XTMR sensorMicro permanent magnet linear actuatorPosition identification strategyHigh-micro-integrated positioning system |
| spellingShingle | Yixuan Zhang Qiwei Xu Yun Yang Longjiang Gao Yizhou Zhao High-integrated micro permanent magnet linear actuator positioning system Energy Reports TMR sensor Micro permanent magnet linear actuator Position identification strategy High-micro-integrated positioning system |
| title | High-integrated micro permanent magnet linear actuator positioning system |
| title_full | High-integrated micro permanent magnet linear actuator positioning system |
| title_fullStr | High-integrated micro permanent magnet linear actuator positioning system |
| title_full_unstemmed | High-integrated micro permanent magnet linear actuator positioning system |
| title_short | High-integrated micro permanent magnet linear actuator positioning system |
| title_sort | high integrated micro permanent magnet linear actuator positioning system |
| topic | TMR sensor Micro permanent magnet linear actuator Position identification strategy High-micro-integrated positioning system |
| url | http://www.sciencedirect.com/science/article/pii/S235248472300940X |
| work_keys_str_mv | AT yixuanzhang highintegratedmicropermanentmagnetlinearactuatorpositioningsystem AT qiweixu highintegratedmicropermanentmagnetlinearactuatorpositioningsystem AT yunyang highintegratedmicropermanentmagnetlinearactuatorpositioningsystem AT longjianggao highintegratedmicropermanentmagnetlinearactuatorpositioningsystem AT yizhouzhao highintegratedmicropermanentmagnetlinearactuatorpositioningsystem |