Language : 中文
冯浩
36
  • Personal Information

    Associate professor
    Supervisor of Master's Candidates
    Education Level:With Certificate of Graduation for Doctorate Study
    Degree:Doctoral Degree in Engineering
    School/Department:人工智能学院(未来技术学院、人工智能产业学院)
    Date of Employment:2020-07-06
    Administrative Position:系主任
    Business Address:信息科技大楼1917
    Contact Information:fenghao@nuist.edu.cn
    E-Mail:003308@nuist.edu.cn
    Alma Mater:南京工业大学
  • Profile

    冯浩,南京信息工程大学副教授,系主任,硕士生导师。中国机械工程学会高级会员、International Journal of Hydromechatronics期刊青年编委。

    从事流体传动与控制、人工智能、智能控制及其应用等方面的研究,在Mechanical Systems and Signal ProcessingIEEE/ASME Transactions on MechatronicsMechanism and Machine TheoryAutomation in ConstructionISA Transactions、控制理论与应用、计算机集成制造系统等国内外权威期刊上发表论文40余篇。

    在研国家自然科学基金青年基金1项、江苏省基础研究计划自然科学基金面上项目1项、人才启动经费项目1项、横向课题4项,参与国家重点研发计划、江苏省科技成果转化专项资金计划项目等。获江苏省科学技术奖一等奖1

    科研项目

    152105064,国家自然科学基金青年基金项目,2022-2024,主持;

    2BK20221342,江苏省基础研究计划自然科学基金面上项目,2022-2025,主持;

    32023h702,企业委托项目,2023-2024,主持;

    42023h823,企业委托项目,2023-2024,主持;

    52021r042,引进人才科研启动经费资助项目,2021-2023,主持;

    62021h022,企业委托项目,2021-2022,主持;

    72021YFB2011904,国家重点研发计划项目,2022-2024,参与;

    8SBA2020030413,江苏省科技成果转化专项资金计划项目,2020-2024,参与。

    部分代表作

    [1] H. Feng, X.D. Chang, J.Y. Jiang, C.B. Yin, D.H. Cao, C.B. Li, J.X. Xie, Friction compensation control method for a typical excavator system based on the accurate friction model, Expert Systems with Applications, 254 (2024) 124494.  

    [2] H. Feng, J.Y. Jiang, N. Ding, F.P. Shen, C.B. Yin, D.H. Cao, H.F. Yu, C.B. Li, T. Liu, J.X. Xie, Multi-objective time-energy-impact optimization for robotic excavator trajectory planning, Automation in Construction, 156 (2023) 105094. 

    [3] H. Feng, C.B. Yin, D.H. Cao, Trajectory tracking of an electro-hydraulic servo system with an new friction model-based compensation, IEEE/ASME Transactions on Mechatronics, 28 (1) (2023) 473-482.

    [4] H. Feng, J.Y. Jiang, X.D. Chang, C.B. Yin, D.H. Cao, H.F. Yu, C.B. Li, J.X. Xie, Adaptive sliding mode controller based on fuzzy rules for a typical excavator electro-hydraulic position control system, Engineering Applications of Artificial Intelligence, 126 Part C (2023) 107008. 

    [5] H. Feng, Q.Y. Song, C.B. Yin, D.H. Cao, Adaptive impedance control method for dynamic contact force tracking of robotic excavators, Journal of Construction Engineering and Management, 148 (11) (2022) 04022124. 

    [6] H. Feng, Q.Y. Song, S.L. Ma, W. Ma, C.B. Yin, D.H. Cao, H.F. Yu, A new adaptive sliding mode controller based on the RBF neural network for an electro-hydraulic servo system, ISA Transactions, 129 (2022) 472-484. 

    [7] H. Feng, W. Ma, C.B. Yin, D.H. Cao, Trajectory control of electro-hydraulic position servo system using improved PSO-PID controller, Automation in Construction, 127 (7) (2021) 103722.

    [8] H. Feng, C.B. Yin, R. Li, W. Ma, H.F. Yu, D.H. Cao, J.J. Zhou, Flexible virtual fixtures for human-excavator cooperative system, Automation in Construction, 106 (2019) 102897.

    [9] H. Feng, W.H. Qiao, C.B. Yin, H.F. Yu, D.H. Cao, Identification and compensation of non-linear friction for a electro-hydraulic system, Mechanism and Machine Theory, 141 (2019) 1-13.

    [10] H. Feng, C.B. Yin, W.W. Weng, W. Ma, J.J. Zhou, W.H. Jia, Z.L. Zhang, Robotic excavator trajectory control using an improved GA based PID controller, Mechanical Systems and Signal Processing, 105 (2018) 153-168.

    学生培养

    培养的研究生获批国家奖学金、江苏省研究生科研创新计划项目多项;本科生获批江苏省优秀本科毕业论文国家级及省级大学生创新创业计划项目多项。

    欢迎本科生和研究生的加入,共同研发智能算法,推广应用人工智能技术。

    教学工作

    南京信息工程大学教学管理先进个人,承担《电子技术基础》(全英文)、《数字电子技术》(全英文)、《微机原理与单片机》、《人工智能伦理学》等课程的教学工作,相关课程获批课程思政示范课、全英文国际课程示范课。

    条件支撑

    依托业内最大的三一全球研发中心,配备全系列型号智能装备(挖掘机器人、无人机等),围绕数字化、智能化、电动化战略开展研究。

     


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  • Other Contact Information

     PostalAddress:信息科技大楼1917
     Email:fenghao@nuist.edu.cn