An Adaptive Multi-Layer Anti-Lock Braking Control Method Based on Fuzzy Logic
The Anti-lock Braking System (ABS) is a key component in automotive safety, with its controller playing a pivotal role in braking effectiveness. Current ABS technology has excellent performance under normal road conditions, but faces the challenge of dynamic adaptation under extreme weather conditio...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10711185/ |
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| author | Yajing Kang Shuai Cheng Liang Guo Chao Zheng Jizhuang Zhao |
| author_facet | Yajing Kang Shuai Cheng Liang Guo Chao Zheng Jizhuang Zhao |
| author_sort | Yajing Kang |
| collection | DOAJ |
| description | The Anti-lock Braking System (ABS) is a key component in automotive safety, with its controller playing a pivotal role in braking effectiveness. Current ABS technology has excellent performance under normal road conditions, but faces the challenge of dynamic adaptation under extreme weather conditions. To this end, this paper proposes an Adaptive Multi-Layer Anti-Lock Braking Control Method (AMABC). Integrating various control technologies and optimized through an automatic switching logic, AMABC includes a Deceleration Rate Control module, a Pressure Optimization module, and a Fuzzy-based Anti-lock Control module. Notably, the Pressure Optimization module anticipates and intervenes in tire lockup, ensuring smooth braking transitions and effective pressure management, significantly enhancing driving performance and vehicle safety. The application of fuzzy logic further refines the system’s response to changing automobile dynamics. Simulation experiments demonstrate that AMABC reduces braking times by 24.07%, 23.17%, and 10.30% on dry, wet, and snowy roads, respectively. This highlights the potential of integrating basic control methods to enhance braking performance without the need for additional hardware upgrades, offering significant practical application value. |
| format | Article |
| id | doaj-art-a6b4660b582441a49eed80c35c41af85 |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-a6b4660b582441a49eed80c35c41af852025-08-20T01:48:02ZengIEEEIEEE Access2169-35362024-01-011214946814948010.1109/ACCESS.2024.347725210711185An Adaptive Multi-Layer Anti-Lock Braking Control Method Based on Fuzzy LogicYajing Kang0https://orcid.org/0009-0000-4071-7880Shuai Cheng1https://orcid.org/0009-0005-1821-3164Liang Guo2Chao Zheng3Jizhuang Zhao4China Telecom Research Institute, Beijing, ChinaChina Telecom Research Institute, Beijing, ChinaInstitute of Cloud Computing and Big Data, CAICT, Beijing, ChinaChina Telecom Research Institute, Beijing, ChinaChina Telecom Research Institute, Beijing, ChinaThe Anti-lock Braking System (ABS) is a key component in automotive safety, with its controller playing a pivotal role in braking effectiveness. Current ABS technology has excellent performance under normal road conditions, but faces the challenge of dynamic adaptation under extreme weather conditions. To this end, this paper proposes an Adaptive Multi-Layer Anti-Lock Braking Control Method (AMABC). Integrating various control technologies and optimized through an automatic switching logic, AMABC includes a Deceleration Rate Control module, a Pressure Optimization module, and a Fuzzy-based Anti-lock Control module. Notably, the Pressure Optimization module anticipates and intervenes in tire lockup, ensuring smooth braking transitions and effective pressure management, significantly enhancing driving performance and vehicle safety. The application of fuzzy logic further refines the system’s response to changing automobile dynamics. Simulation experiments demonstrate that AMABC reduces braking times by 24.07%, 23.17%, and 10.30% on dry, wet, and snowy roads, respectively. This highlights the potential of integrating basic control methods to enhance braking performance without the need for additional hardware upgrades, offering significant practical application value.https://ieeexplore.ieee.org/document/10711185/Fuzzy logicmulti-layer anti-lock braking controldeceleration rate controlpressure optimizationanti-lock control |
| spellingShingle | Yajing Kang Shuai Cheng Liang Guo Chao Zheng Jizhuang Zhao An Adaptive Multi-Layer Anti-Lock Braking Control Method Based on Fuzzy Logic IEEE Access Fuzzy logic multi-layer anti-lock braking control deceleration rate control pressure optimization anti-lock control |
| title | An Adaptive Multi-Layer Anti-Lock Braking Control Method Based on Fuzzy Logic |
| title_full | An Adaptive Multi-Layer Anti-Lock Braking Control Method Based on Fuzzy Logic |
| title_fullStr | An Adaptive Multi-Layer Anti-Lock Braking Control Method Based on Fuzzy Logic |
| title_full_unstemmed | An Adaptive Multi-Layer Anti-Lock Braking Control Method Based on Fuzzy Logic |
| title_short | An Adaptive Multi-Layer Anti-Lock Braking Control Method Based on Fuzzy Logic |
| title_sort | adaptive multi layer anti lock braking control method based on fuzzy logic |
| topic | Fuzzy logic multi-layer anti-lock braking control deceleration rate control pressure optimization anti-lock control |
| url | https://ieeexplore.ieee.org/document/10711185/ |
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