Research on Sensitivity Improvement Methods for RTD Fluxgates Based on Feedback-Driven Stochastic Resonance with PSO
With the wide application of Residence Time Difference (RTD) fluxgate sensors in Unmanned Aerial Vehicle (UAV) aeromagnetic measurements, the requirements for their measurement accuracy are increasing. The core characteristics of the RTD fluxgate sensor limit its sensitivity; the high-permeability s...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/2/520 |
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| author | Rui Wang Na Pang Haibo Guo Xu Hu Guo Li Fei Li |
| author_facet | Rui Wang Na Pang Haibo Guo Xu Hu Guo Li Fei Li |
| author_sort | Rui Wang |
| collection | DOAJ |
| description | With the wide application of Residence Time Difference (RTD) fluxgate sensors in Unmanned Aerial Vehicle (UAV) aeromagnetic measurements, the requirements for their measurement accuracy are increasing. The core characteristics of the RTD fluxgate sensor limit its sensitivity; the high-permeability soft magnetic core is especially easily interfered with by the input noise. In this paper, based on the study of the excitation signal and input noise characteristics, the stochastic resonance is proposed to be realized by adding feedback by taking advantage of the high hysteresis loop rectangular ratio, low coercivity and bistability characteristics of the soft magnetic material core. Simulink is used to construct the sensor model of odd polynomial feedback control, and the Particle Swarm Optimization (PSO) algorithm is used to optimize the coefficients of the feedback function so that the sensor reaches a resonance state, thus reducing the noise interference and improving the sensitivity of the sensor. The simulation results show that optimizing the odd polynomial feedback coefficients with PSO enables the sensor to reach a resonance state, improving sensitivity by at least 23.5%, effectively enhancing sensor performance and laying a foundation for advancements in UAV aeromagnetic measurement technology. |
| format | Article |
| id | doaj-art-9444c9a882484564ab0d6aabbd606f47 |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-9444c9a882484564ab0d6aabbd606f472025-01-24T13:49:12ZengMDPI AGSensors1424-82202025-01-0125252010.3390/s25020520Research on Sensitivity Improvement Methods for RTD Fluxgates Based on Feedback-Driven Stochastic Resonance with PSORui Wang0Na Pang1Haibo Guo2Xu Hu3Guo Li4Fei Li5College of Computer Science and Technology, Beihua University, No. 3999 East Binjiang Road, Jilin 132013, ChinaCollege of Computer Science and Technology, Beihua University, No. 3999 East Binjiang Road, Jilin 132013, ChinaCollege of Computer Science and Technology, Beihua University, No. 3999 East Binjiang Road, Jilin 132013, ChinaCollege of Computer Science and Technology, Beihua University, No. 3999 East Binjiang Road, Jilin 132013, ChinaCollege of Computer Science and Technology, Beihua University, No. 3999 East Binjiang Road, Jilin 132013, ChinaCollege of Computer Science and Technology, Beihua University, No. 3999 East Binjiang Road, Jilin 132013, ChinaWith the wide application of Residence Time Difference (RTD) fluxgate sensors in Unmanned Aerial Vehicle (UAV) aeromagnetic measurements, the requirements for their measurement accuracy are increasing. The core characteristics of the RTD fluxgate sensor limit its sensitivity; the high-permeability soft magnetic core is especially easily interfered with by the input noise. In this paper, based on the study of the excitation signal and input noise characteristics, the stochastic resonance is proposed to be realized by adding feedback by taking advantage of the high hysteresis loop rectangular ratio, low coercivity and bistability characteristics of the soft magnetic material core. Simulink is used to construct the sensor model of odd polynomial feedback control, and the Particle Swarm Optimization (PSO) algorithm is used to optimize the coefficients of the feedback function so that the sensor reaches a resonance state, thus reducing the noise interference and improving the sensitivity of the sensor. The simulation results show that optimizing the odd polynomial feedback coefficients with PSO enables the sensor to reach a resonance state, improving sensitivity by at least 23.5%, effectively enhancing sensor performance and laying a foundation for advancements in UAV aeromagnetic measurement technology.https://www.mdpi.com/1424-8220/25/2/520stochastic resonanceRTD fluxgatesensitivityfeedbackPSO |
| spellingShingle | Rui Wang Na Pang Haibo Guo Xu Hu Guo Li Fei Li Research on Sensitivity Improvement Methods for RTD Fluxgates Based on Feedback-Driven Stochastic Resonance with PSO Sensors stochastic resonance RTD fluxgate sensitivity feedback PSO |
| title | Research on Sensitivity Improvement Methods for RTD Fluxgates Based on Feedback-Driven Stochastic Resonance with PSO |
| title_full | Research on Sensitivity Improvement Methods for RTD Fluxgates Based on Feedback-Driven Stochastic Resonance with PSO |
| title_fullStr | Research on Sensitivity Improvement Methods for RTD Fluxgates Based on Feedback-Driven Stochastic Resonance with PSO |
| title_full_unstemmed | Research on Sensitivity Improvement Methods for RTD Fluxgates Based on Feedback-Driven Stochastic Resonance with PSO |
| title_short | Research on Sensitivity Improvement Methods for RTD Fluxgates Based on Feedback-Driven Stochastic Resonance with PSO |
| title_sort | research on sensitivity improvement methods for rtd fluxgates based on feedback driven stochastic resonance with pso |
| topic | stochastic resonance RTD fluxgate sensitivity feedback PSO |
| url | https://www.mdpi.com/1424-8220/25/2/520 |
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