Hybrid PI and Fuzzy Logic Control for Energy Optimization in Train Operations
This paper presents a Fuzzy logic-based train control algorithm designed to enhance energy efficiency across a complete railway route. The proposed framework dynamically integrates practical information such as curvature data, gradient profiles, and station schedules to optimize acceleration, coasti...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10945357/ |
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| author | Hwan-Hee Cho Jae-Won Kim Min-Sup Song Chi-Myeong Yun Gyu-Jung Cho Zhongbei Tian |
| author_facet | Hwan-Hee Cho Jae-Won Kim Min-Sup Song Chi-Myeong Yun Gyu-Jung Cho Zhongbei Tian |
| author_sort | Hwan-Hee Cho |
| collection | DOAJ |
| description | This paper presents a Fuzzy logic-based train control algorithm designed to enhance energy efficiency across a complete railway route. The proposed framework dynamically integrates practical information such as curvature data, gradient profiles, and station schedules to optimize acceleration, coasting, and braking phases. By using Fuzzy logic, the algorithm adaptively balances energy consumption, travel time, and stopping precision. Key features include predictive speed scanning and adaptive PI control, enabling comprehensive energy optimization. Simulation results confirm significant energy savings or voltage regulation while maintaining operational reliability and precision. This study highlights the potential of Fuzzy-based control systems in advancing sustainable railway operations. |
| format | Article |
| id | doaj-art-880db4e4c6734c42ad5b73ceaf43fd7a |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-880db4e4c6734c42ad5b73ceaf43fd7a2025-08-20T02:16:29ZengIEEEIEEE Access2169-35362025-01-0113593665937610.1109/ACCESS.2025.355559210945357Hybrid PI and Fuzzy Logic Control for Energy Optimization in Train OperationsHwan-Hee Cho0https://orcid.org/0000-0002-4966-0099Jae-Won Kim1https://orcid.org/0000-0002-8275-9656Min-Sup Song2https://orcid.org/0000-0001-6189-2872Chi-Myeong Yun3https://orcid.org/0000-0002-1745-4098Gyu-Jung Cho4https://orcid.org/0000-0002-2791-5361Zhongbei Tian5Electrification System Research Department, Korea Railroad Research Institute, Uiwang-si, South KoreaElectrification System Research Department, Korea Railroad Research Institute, Uiwang-si, South KoreaElectrification System Research Department, Korea Railroad Research Institute, Uiwang-si, South KoreaElectrification System Research Department, Korea Railroad Research Institute, Uiwang-si, South KoreaDepartment of Electrical and Electronic Engineering, Pai Chai University, Daejeon, South KoreaDepartment of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham, U.K.This paper presents a Fuzzy logic-based train control algorithm designed to enhance energy efficiency across a complete railway route. The proposed framework dynamically integrates practical information such as curvature data, gradient profiles, and station schedules to optimize acceleration, coasting, and braking phases. By using Fuzzy logic, the algorithm adaptively balances energy consumption, travel time, and stopping precision. Key features include predictive speed scanning and adaptive PI control, enabling comprehensive energy optimization. Simulation results confirm significant energy savings or voltage regulation while maintaining operational reliability and precision. This study highlights the potential of Fuzzy-based control systems in advancing sustainable railway operations.https://ieeexplore.ieee.org/document/10945357/Cooperative train operationrailway computer simulationenergy-efficient schedulingfuzzy logic controloperation energy saving |
| spellingShingle | Hwan-Hee Cho Jae-Won Kim Min-Sup Song Chi-Myeong Yun Gyu-Jung Cho Zhongbei Tian Hybrid PI and Fuzzy Logic Control for Energy Optimization in Train Operations IEEE Access Cooperative train operation railway computer simulation energy-efficient scheduling fuzzy logic control operation energy saving |
| title | Hybrid PI and Fuzzy Logic Control for Energy Optimization in Train Operations |
| title_full | Hybrid PI and Fuzzy Logic Control for Energy Optimization in Train Operations |
| title_fullStr | Hybrid PI and Fuzzy Logic Control for Energy Optimization in Train Operations |
| title_full_unstemmed | Hybrid PI and Fuzzy Logic Control for Energy Optimization in Train Operations |
| title_short | Hybrid PI and Fuzzy Logic Control for Energy Optimization in Train Operations |
| title_sort | hybrid pi and fuzzy logic control for energy optimization in train operations |
| topic | Cooperative train operation railway computer simulation energy-efficient scheduling fuzzy logic control operation energy saving |
| url | https://ieeexplore.ieee.org/document/10945357/ |
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