The High-Efficiency Design Method for Capacitive MEMS Accelerometer
In this research, a high-efficiency design method of the capacitive MEMS accelerometer is proposed. As the MEMS accelerometer has high precision and a compact structure, much research has been carried out, which mainly focused on the structural design and materials selection. To overcome the inconve...
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| Format: | Article |
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MDPI AG
2023-09-01
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| Series: | Micromachines |
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| Online Access: | https://www.mdpi.com/2072-666X/14/10/1891 |
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| author | Wen Liu Tianlong Zhao Zhiyuan He Jingze Ye Shaotong Gong Xianglong Wang Yintang Yang |
| author_facet | Wen Liu Tianlong Zhao Zhiyuan He Jingze Ye Shaotong Gong Xianglong Wang Yintang Yang |
| author_sort | Wen Liu |
| collection | DOAJ |
| description | In this research, a high-efficiency design method of the capacitive MEMS accelerometer is proposed. As the MEMS accelerometer has high precision and a compact structure, much research has been carried out, which mainly focused on the structural design and materials selection. To overcome the inconvenience and inaccuracy of the traditional design method, an orthogonal design and the particle swarm optimization (PSO) algorithm are introduced to improve the design efficiency. The whole process includes a finite element method (FEM) simulation, high-efficiency design, and verification. Through the theoretical analysis, the working mechanism of capacitive MEMS accelerometer is clear. Based on the comparison among the sweep calculation results of these parameters in the FEM software, four representative structural parameters are selected for further study, and they are <i>l<sub>e</sub></i>, <i>n<sub>f</sub></i>, <i>l<sub>f</sub></i> and <i>w<sub>PM</sub></i>, respectively. <i>l<sub>e</sub></i> and <i>l<sub>f</sub></i> are the length of the sensing electrode and fixed electrode on the right. <i>n<sub>f</sub></i> is the number of electrode pairs, and <i>w<sub>PM</sub></i> is the width of the mass block. Then, in order to reduce computation, an orthogonal design is adopted and finally, 81 experimental groups are produced. Sensitivity <i>S<sub>V</sub></i> and mass <i>M<sub>a</sub></i> are defined as evaluation parameters, and structural parameters of experimental groups are imported into the FEM software to obtain the corresponding calculation results. These simulation data are imported into neural networks with the PSO algorithm. For a comprehensively accurate examination, three cases are used to verify our design method, and every case endows the performance parameters with different weights and expected values. The corresponding structural parameters of each case are given out after 24 iterations. Finally, the maximum calculation errors of <i>S<sub>V</sub></i> and <i>M<sub>a</sub></i> are 1.2941% and 0.1335%, respectively, proving the feasibility of the high-efficiency design method. |
| first_indexed | 2024-03-10T21:03:06Z |
| format | Article |
| id | doaj.art-ed2d0197d57341d3924c05f81c049c6e |
| institution | Directory Open Access Journal |
| issn | 2072-666X |
| language | English |
| last_indexed | 2024-03-10T21:03:06Z |
| publishDate | 2023-09-01 |
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| series | Micromachines |
| spelling | doaj.art-ed2d0197d57341d3924c05f81c049c6e2023-11-19T17:24:23ZengMDPI AGMicromachines2072-666X2023-09-011410189110.3390/mi14101891The High-Efficiency Design Method for Capacitive MEMS AccelerometerWen Liu0Tianlong Zhao1Zhiyuan He2Jingze Ye3Shaotong Gong4Xianglong Wang5Yintang Yang6School of Microelectronics, Xidian University, Xi’an 710071, ChinaSchool of Microelectronics, Xidian University, Xi’an 710071, ChinaSchool of Microelectronics, Xidian University, Xi’an 710071, ChinaSchool of Microelectronics, Xidian University, Xi’an 710071, ChinaSchool of Microelectronics, Xidian University, Xi’an 710071, ChinaSchool of Microelectronics, Xidian University, Xi’an 710071, ChinaSchool of Microelectronics, Xidian University, Xi’an 710071, ChinaIn this research, a high-efficiency design method of the capacitive MEMS accelerometer is proposed. As the MEMS accelerometer has high precision and a compact structure, much research has been carried out, which mainly focused on the structural design and materials selection. To overcome the inconvenience and inaccuracy of the traditional design method, an orthogonal design and the particle swarm optimization (PSO) algorithm are introduced to improve the design efficiency. The whole process includes a finite element method (FEM) simulation, high-efficiency design, and verification. Through the theoretical analysis, the working mechanism of capacitive MEMS accelerometer is clear. Based on the comparison among the sweep calculation results of these parameters in the FEM software, four representative structural parameters are selected for further study, and they are <i>l<sub>e</sub></i>, <i>n<sub>f</sub></i>, <i>l<sub>f</sub></i> and <i>w<sub>PM</sub></i>, respectively. <i>l<sub>e</sub></i> and <i>l<sub>f</sub></i> are the length of the sensing electrode and fixed electrode on the right. <i>n<sub>f</sub></i> is the number of electrode pairs, and <i>w<sub>PM</sub></i> is the width of the mass block. Then, in order to reduce computation, an orthogonal design is adopted and finally, 81 experimental groups are produced. Sensitivity <i>S<sub>V</sub></i> and mass <i>M<sub>a</sub></i> are defined as evaluation parameters, and structural parameters of experimental groups are imported into the FEM software to obtain the corresponding calculation results. These simulation data are imported into neural networks with the PSO algorithm. For a comprehensively accurate examination, three cases are used to verify our design method, and every case endows the performance parameters with different weights and expected values. The corresponding structural parameters of each case are given out after 24 iterations. Finally, the maximum calculation errors of <i>S<sub>V</sub></i> and <i>M<sub>a</sub></i> are 1.2941% and 0.1335%, respectively, proving the feasibility of the high-efficiency design method.https://www.mdpi.com/2072-666X/14/10/1891capacitive MEMS accelerometerhigh-efficiency design methodFEMorthogonal designPSO algorithm |
| spellingShingle | Wen Liu Tianlong Zhao Zhiyuan He Jingze Ye Shaotong Gong Xianglong Wang Yintang Yang The High-Efficiency Design Method for Capacitive MEMS Accelerometer Micromachines capacitive MEMS accelerometer high-efficiency design method FEM orthogonal design PSO algorithm |
| title | The High-Efficiency Design Method for Capacitive MEMS Accelerometer |
| title_full | The High-Efficiency Design Method for Capacitive MEMS Accelerometer |
| title_fullStr | The High-Efficiency Design Method for Capacitive MEMS Accelerometer |
| title_full_unstemmed | The High-Efficiency Design Method for Capacitive MEMS Accelerometer |
| title_short | The High-Efficiency Design Method for Capacitive MEMS Accelerometer |
| title_sort | high efficiency design method for capacitive mems accelerometer |
| topic | capacitive MEMS accelerometer high-efficiency design method FEM orthogonal design PSO algorithm |
| url | https://www.mdpi.com/2072-666X/14/10/1891 |
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