个人基本情况
姓名:冯朝
出生年月:1992年9月
学历:工学博士
Email:fengzhao92@outlook.com; fengzhaozhao7@163.com
学习及工作经历
2010.9-2014.6 武汉大学 机械设计制造及其自动化 工学学士
2014.9-2020.6 武汉大学 机械电子工程 工学博士
2019.1-2020.3 新加坡 新加坡国立大学 电子与计算机工程系 CSC联培博
2020.10-至 今 澳门大学 科技学院 Postdoctoral Fellow
主要研究方向
精密运动控制、微纳定位与操作、机器人控制
简介
冯朝,工学博士,目前在澳门大学UM Macao Talent Programme的资助下从事博士后研究。主要研究方向为智能材料的精密运动控制、机器人的位置/力控制,将致力于设计研究面向工业/医疗领域的简单高效实用的控制算法,并将其应用于工业或医疗机器人系统。
学术成果(详见https://orcid.org/0000-0001-7213-9413)
期刊论文(第一作者)
[1] Feng, Z., Ling, J., Ming, M., Liang, W.Y., Tan, K.K., & Xiao, X.H (2020). Signal-transformation-based repetitive control of spiral trajectory for piezoelectric nanopositioning stages, IEEE/ASME Transactions on Mechatronics, 25(3), 1634-1645. (SCI, IF= 5.673, Top)
[2] Feng, Z., Liang, W.Y., Ling, J., Xiao, X.H., Tan, K.K.& Lee, T.H (2020). Integral terminal sliding mode based adaptive integral backstepping control for precision motion of a piezoelectric ultrasonic motor. Mechanical Systems and Signal Processing, 144C 106856. (SCI, IF= 6.471, Top)
[3] Feng, Z., Ling, J., Ming, M., & Xiao, X.H. (2019). Integrated modified repetitive control with disturbance observer of piezoelectric nanopositioning stages for high-speed and precision motion. Journal of Dynamic Systems, Measurement, and Control, 141(8), 081006. (SCI, IF= 1.304)
[4] Feng, Z., Ling, J., Ming, M., & Xiao, X.H. (2018). A model-data integrated iterative learning controller for flexible tracking with application to a piezo nanopositioner. Transactions of the Institute of Measurement and Control, 40(10), 3201-3210. (SCI, IF= 1.649)
[5] Feng, Z., Ling, J., Ming, M., &Xiao, X.H. (2017). Data-based double-feedforward controller design for a coupled parallel piezo nanopositioning stage. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 231(10), 881-892. (SCI, IF= 1.386)
[6] Feng, Z., Ling, J., Ming, M., & Xiao, X. H. (2017). High-bandwidth and flexible tracking control for precision motion with application to a piezo nanopositioner. Review of Scientific Instruments, 88(8), 085107. (SCI, IF= 1.48)
[7] 冯朝, 凌杰, 明敏, & 肖晓晖. (2018). 融合迭代学习与干扰观测器的压电微动平台精密运动控制. 机器人, (6), 825-834. (EI)
会议论文
[1] Feng, Z., Ling, J., Ming, M., & Xiao, X.H. (2016, August). Data-driven feedforward decoupling filter design for parallel nanopositioning stages. In International Conference on Intelligent Robotics and Applications (pp. 709-720). Springer, Cham.
[2] Feng, Z., Ling, J., Ming, M., & Xiao, X.H. (2019, July). Model-Assisted Extended State Observer based Repetitive Control for High Precision Tracking of Piezoelectric Nanopositioning Stages. In 2019 Chinese Control Conference (CCC) (pp. 6900-6905). IEEE.
[3] Liang, W.Y.*, Feng, Z.*, Wu, Y., Ren, Q.Y., Lee, T.H. Robust Force Tracking Impedance Control of an Ultrasonic Motor-actuated End-effector in a Soft Environment. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020), in press.
项目经历
[1] 国家自然科学基金面上项目(51375349),基于频域误差补偿策略的微操作机器人快速精密控制研究,参与
[2] 深圳市基础研究计划(JCYJ20170306171514468), 面向多维多任务的微操作机器人快速精密运动控制研究,参与
奖励及荣誉
2020 武汉大学优秀毕业研究生
2018 国家建设高水平大学公派研究生项目奖学金(CSC)
2014 武汉大学优秀本科毕业生
2013 国家励志奖学金