戴宇辰
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戴宇辰,男,浙江金华人,中共党员,工学博士,硕导,IEEE Member,中国自动化学会会员,毕业于武汉理工大学交通信息工程及控制专业,新加坡国立大学联合培养博士(国家留学基金委资助),现为浙江师范大学工学院交通运输系专任教师。曾获博士研究生国家奖学金、三好研究生、三好研究生标兵、优秀毕业研究生等荣誉。近年来,主持浙江省自然科学基金项目1项,金华市科技计划项目1项,校教改项目1项;参与国家自然科学基金面上项目、国家重点研发计划等国家级项目多项;发表科研论文30余篇,其中以第一作者/通讯作者在IEEE Transactions on Transportation Electrification、IEEE Transactions on Intelligent Vehicles等交通领域国际权威SCI期刊发表论文15篇,授权专利1项。担任IEEE Transactions on Intelligent Vehicles, Applied Energy, IEEE Internet of Things Journal, Applied Mathematics and Computation等国际权威SCI期刊审稿人。研究方向:交通电气与控制系统、信息物理系统(CPS)、多智能体控制、数据驱动控制、故障诊断与容错控制、人工智能驱动的控制理论与技术等。
发表论文:
[1] Y. Dai, L. Zhang, D. Xu, Q. Chen, X. Yan. Anti-disturbance cooperative fuzzy tracking control of multi-PMSMs low-speed urban rail
traction systems. IEEE Transactions on Transportation Electrification, vol. 8, no. 1, pp. 1040-1052, 2022.
[2] Y. Dai, L. Zhang, K. Yan, Q. Chen, Z. Zhou. An integrated cooperative control strategy for EVs accessed community uninterruptible
power system. IEEE Transactions on Intelligent Vehicles, vol. 8, no. 3, pp. 2482-2493, March 2023.
[3] Y. Dai, L. Zhang, D. Xu*, Q. Chen, J. Li. Development of Deep Learning-Based Cooperative Fault Diagnosis Method for Multi-PMSM
Drive System in 4WID-EVs. IEEE Transactions on Instrument and Measurement, 2024, 73: 3506513.
[4] Y. Dai, S. Ni, D. Xu, L. Zhang, X. Yan. Disturbance-observer based prescribed-performance fuzzy sliding mode control for PMSM in
electric vehicles. Engineering Applications of Artificial Intelligence, vol. 104, 104361, 2021.
[5] Y. Dai, L. Zhang, Q. Chen, K. Zhou, T. Hua. Multi-VSG-based frequency regulation for uninterruptible power AC micro-grid with
distributed electric vehicles. International Journal of Electrical Power & Energy Systems, vol. 137, 107785, 2022.
[6] Y. Dai, L. Zhang, G. Liu, C. Yang, D. Zhang, X. Huang. Prescribed-performance based finite-time adaptive fuzzy control for PV inverter
in islanded systems. International Journal of Electrical Power & Energy Systems, vol. 133, 107254, 2021.
[7] Y. Dai, L. Zhang, G. Liu, Y. Yang, Q. Chen, D. Xu. Multi-VSM based fuzzy adaptive cooperative control strategy for MVDC traction
power supply system. Journal of the Franklin Institute, vol. 358, no. 15, pp. 7559-7585, 2021.
[8] Y. Dai, L. Zhang, D. Xu, L. Li, J. Li, X. Du. Fixed-time anti-disturbance constraint fuzzy synchronization control for PMSM based
four-wheel-independent-drive EVs. Journal of the Franklin Institute, 2024, 361(11): 106858.
[9] Y. Dai, G. Liu, C. Yang, D. Zhang, X. Huang. A novel no circulating current cooperative adaptive SoC balancing control for large-scale
grid-connected electric vehicles. International Transactions on Electrical Energy Systems, vol. 31, no. 11, pp. 1-19, 2021.
[10] Y. Dai, L. Zhang, G. Liu, D. Xu, C. Yang. Finite-time disturbance observer based funnel voltage control strategy for V2G inverter in
islanded mode. Proceedings of the iMeche, Part I: Journal of Systems and Control Engineering, vol. 235, no. 9, pp. 1571-1582, 2021.
[11] C. Yang, T. Hua, Y. Dai, X. Huang, D. Zhang. Second-order nonlinear disturbance observer-based adaptive disturbance rejection control
for PMSM in electric vehicles. Journal of Electrical Engineering & Technology, Early Access.
[12] C. Yang, S. Ni, Y. Dai, X. Huang, D. Zhang. Anti-disturbance finite-time adaptive sliding mode backstepping control for PV inverter in
master–slave-organized islanded microgrid. Energies, 2020, 13(17): 1-19.
[13] C. Yang, T. Hua, G. Liu, Y. Dai, X. Huang, D. Zhang. Disturbance-observer-based adaptive fuzzy control for islanded distributed energy
resource systems. Mathematical Problems in Engineering, Early Access.
[14] 杨成顺, 刘国富, 戴宇辰, 等. 基于改进VSM的城轨牵引系统自适应协同控制. 电气传动, 2022, 52(17): 3-11.
[15] 杨成顺, 华涛, 戴宇辰, 等. 电动汽车用永磁同步电机宽速域抗干扰滑模控制. 电机与控制应用, 2021, 48(12): 21-29.
授权专利:
[1] 杨成顺, 刘国富, 戴宇辰, 黄宵宁, 张东东. 一种针对分布式并网电动汽车的SoC平衡控制方法.
中国专利: CN202011178724.7, 2021-02-09.
主要主持/参与项目:
[1] 考虑车辆异质的虚拟编组城轨列车状态监诊与协同容错控制研究,浙江省自然科学基金青年基金,2025年,(主持)。
[2] 城轨列车多电机牵引系统高精度智能状态监诊与协同容错控制研究,金华市科技计划项目,2024年,(主持)。
[3] 基于项目式学习的《轨道车辆传动及控制》课程教学改革与实践,浙江师范大学教学改革项目,2024年,(主持)。
[4] 燃料电池测试技术及关键零组件研制,国家重点研发计划,2022年,(参与)。
[5] 基于时间特征阻抗的车载燃料电池健康管控方法研究,国家自然科学基金面上项目,2022 年,(参与)。
[6] 面向长寿命高效率的燃料电池汽车动力系统经济模型预测控制研究,国家自然科学基金面上项目,2021年,(参与)。
硕士研究生招生:
学硕:智能交通技术
专硕:交通运输
邮箱 :
交通电气与控制系统
信息物理系统(CPS)
多智能体控制
人工智能驱动的控制理论与技术
故障诊断与容错控制
数据驱动控制