Qinglin Sun

Dr. Qinglin Sun

College of Artificial Intelligence, Nankai University, Tianjin 300350, China

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 October 2013 in Nonlinear Dynamics
Verified
Journal Article
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EZErlin Zhu
Erlin Zhu
JPJinfeng Pang
Jinfeng Pang
NSNa Sun
Na Sun
HGHaitao Gao
Haitao Gao
Qinglin SunQinglin Sun
Qinglin Sun
ZCZengqiang Chen
Zengqiang Chen

1 September 2020 in Neurocomputing
Verified
Journal Article
Closed access
ZCZengqiang Chen
Zengqiang Chen
BQBeibei Qin
Beibei Qin
Mingwei SunMingwei Sun
Mingwei Sun
Qinglin SunQinglin Sun
Qinglin Sun

28 September 2012 in Nonlinear Dynamics
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Journal Article
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LZLimin Zhang
Limin Zhang
HGHai-tao Gao
Hai-tao Gao
ZCZengqiang Chen
Zengqiang Chen
Qinglin SunQinglin Sun
Qinglin Sun
XZXinghui Zhang
Xinghui Zhang

24 October 2014 in Nonlinear Dynamics
Verified
Journal Article
Closed access
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EZErlin Zhu
Erlin Zhu
Qinglin SunQinglin Sun
Qinglin Sun
PTPanlong Tan
Panlong Tan
ZCZengqiang Chen
Zengqiang Chen
XKXiaofeng Kang
Xiaofeng Kang
YHYingping He
Yingping He

26 October 2017 in IEEE/ASME Transactions on Mechatronics
Verified
Journal Article
Closed access
Jin TaoJin Tao
Jin Tao
Qinglin SunQinglin Sun
Qinglin Sun
HSHao Sun
Hao Sun
ZCZengqiang Chen
Zengqiang Chen
MDMatthias Dehmer
Matthias Dehmer
MSMingwei Sun
Mingwei Sun
In this paper, we explore a novel modeling technique to investigate a parafoil flying in wind environments by using computational fluid dynamics. Further, we apply an eight-degree-of-freedom dynamic model of the parafoil in wind environment based on utilizing revised aerodynamic equations. Given that the traditional control methods cannot always tackle trajectory tracking effects properly, we propose an accurate trajectory tracking control method based on active disturbance rejection controller. Semiphysical simulation and airdrop experiments are conducted to evaluate the model as well as the control method. Results demonstrate that the proposed model is effective. Also, active disturbance rejection control outperforms the proportional-integral-derivative (PID) controller regarding the antidisturbance ability and control accuracy.

30 July 2016 in Nonlinear Dynamics
Verified
Journal Article
Closed access
PDF file
JTJin Tao
Jin Tao
Qinglin SunQinglin Sun
Qinglin Sun
PTPanlong Tan
Panlong Tan
ZCZengqiang Chen
Zengqiang Chen
YHYingping He
Yingping He