Name: Wu Qingxiang
Gender: Male
Department: Institute of Robotics and Automatic Information Systems
Title: Research assistant
Qualifications: Doctor
Email: wuqx@nankai.edu.cn
Research Interests: Modeling and control of the underactuated systems(cranes)
Qingxiang Wu, his advisors are professor Han Ding, academician of the chinese academy of sciences, and associate professor Xiaokai Wang. His research interest includes the intelligent control and its engineering application of crane systems.
He is now a postdoc in College of Artificial Intelligence, Nankai University, and his co-supervisor is professor Ning Sun.
Research Interests: (1) Modeling, control and engineering application of underactuated systems; (2) System development of crane control and measurement (hardware and software)
Awards:
In 2018, the first prize of Tai'an Patent Award
In 2017, the first prize of Xintai City Science and Technology Award
Patents
[1] Open loop optimized anti-swing control method of cranes. Patent number ZL 201910983224.1.
[2] Time optimal anti-swing control method and system of cranes. Patent number ZL201910688681.8.
[3] An optimized anti-swing control method for double pendulum system of bridge crane. Patent number ZL201910781611.7.
[4] Multi-information measurement method and system of crane working space based on monocular camera. Patent number ZL201810222013.1.
[5] Intelligent anti-swing control system and method of cranes based on fuzzy PID control. Patent number ZL201810222004.2.
[6] Multi-height calibration measurement method, anti-snag and precise positioning method of cranes. Patent number ZL201710637772.X.
[7] Intelligent anti-swing control method of cranes for multi-segment uniformly variable speed. Patent number ZL201610404509.1.
Papers:
[1] First author, Modeling and nonlinear sliding mode controls of double pendulum cranes considering distributed mass beams, varying roped length and external disturbances[J]. Mechanical Systems and Signal Processing, 2021, 158.
[2] First author, Improved time optimal anti-swing control system based on low-pass filter for double pendulum crane system with distributed mass beam[J]. Mechanical Systems and Signal Processing, 2021, 151.
[3] First author, Dynamic analysis and time optimal anti-swing control of double pendulum bridge crane with distributed mass beams[J]. Mechanical Systems and Signal Processing, 2020, 144.
[4] First author, The real-time vision measurement of multi-information of the bridge crane’s workspace and its application[J]. Measurement, 2020, 151.