Name: Qinglin Sun
Gender: male
Department: College of Artificial Intelligence
Administrative position: Associate dean
Title: Professor
Education: Doctor
Major: Control theory and Engineering
Office Tel: 022-85358276
Email: sunql@nankai.edu.cn
Research interests: Adaptive control, Embedded control systems, Aircraft modeling and intelligent control
Educational Experience:
In 1985, graduated from Department of Automation, Tianjin university with a bachelor's degree in engineering.
In 1990, graduated from Department of Automation, Tianjin university with a master's degree in engineering.
In 2003, graduated from Department of Automation, Nankai university with a doctorate in engineering department.
In 2007-2008, as a national professional visiting scholar at Oxford University.
Working Experience:
From 1985 to 1998, employed in Tianjin institute of automation system.
From 1998, employed in Department of Automation, Nankai university.
The main research field for the adaptive control, modeling and control of flexible spacecraft, embedded control system. The application of the student with exemption of examinations is always welcome. The major includes automation, mechanics, aerospace, intelligence, computer, electronics, etc.
Mainly research projects:
1. Research on flexible Modeling and Agile control of flexible wing-UAV based on numerical virtual flight, National Natural Science Foundation of China, 2020.
2. Research on control method of parachuting stage for autonomous homing finches, national natural science foundation of China, 2013.
3. Research on intelligent cooperative control of multi-parafoil system based on complex task, Tianjin Natural Science Foundation, 2020.
4. Research and implementation of air pressure adaptive control method for oxygen mask, Tianjin Natural Science Foundation, 2014.
[1] Sun H, Sun Q, et al. Trajectory optimization for parafoil delivery system considering complicated dynamic constraints[J]. Aerospace Science and Technology, 2019.
[2] Luo S, Sun Q, Wu W, et al. Accurate flight path tracking control for powered parafoil aerial vehicle using ADRC-based wind feedforward compensation[J]. Aerospace Science and Technology, 2019, 84: 904-915.
[3] Wu W, Sun Q, Sun M, et al. Modeling and control of parafoils based on computational fluid dynamics[J]. Applied Mathematical Modelling, 2019, 70: 378-401.
[4] Sun H, Sun Q, Luo S, et al. In-flight compound homing methodology of parafoil delivery systems under multiple constraints[J]. Aerospace Science and Technology, 2018, 79: 85-104.
[5] Luo S, Tan P, Sun Q, Wu W, Luo H, Chen Z. In-flight wind identification and soft landing control for autonomous unmanned powered parafoils[J]. International Journal of Systems Science, 2018, 49(5): 929-946.
[6] Luo S, Sun Q, Sun M, et al. On decoupling trajectory tracking control of unmanned powered parafoil using ADRC-based coupling analysis and dynamic feedforward compensation[J]. Nonlinear Dynamics, 2018: 1-17.
[7] Jiang Y, Sun Q, Zhang X, et al. Pressure Regulation for Oxygen Mask Based on Active Disturbance Rejection Control[J]. IEEE Transactions on Industrial Electronics, 2017, 64(8), 6402 – 6411.
[8] Tao J, Liang W, Sun Q L, et al. Modeling and Control of a Powered Parafoil in Wind and Rain Environments[J]. IEEE Transactions on Aerospace & Electronic Systems, 2017, 53(4), 1642 - 1659.
[9] Zhu E, Sun Q, Tan P, et al. Modeling of powered parafoil based on Kirchhoff motion equation[J]. Nonlinear Dynamics, 2014, 79(1):617-629.
[10] Tao J, Sun Q, Tan P, et al. Active disturbance rejection control (ADRC)-based autonomous homing control of powered parafoils[J]. Nonlinear Dynamics, 2016,86(3),1-16.
[11] Tao J, Sun Q L, Tan P L, et al. Autonomous homing control of a powered parafoil with insufficient altitude.[J]. Isa Transactions, 2016, 65:516.
[12] Jiang Y, Sun Q, Tan P, et al. Modeling and Simulation of an Electronic Oxygen Regulator Based on All-Coefficient Adaptive Control[J]. Journal of Dynamic Systems Measurement & Control, 2016, 138(8).
[13] Li J, Zhang C, Sun Q, et al. Coevolution between strategy and social networks structure promotes cooperation[J]. Chaos Solitons & Fractals the Interdisciplinary Journal of Nonlinear Science & Nonequilibrium & Complex Phenomena, 2015, 77, 253-263.
[14] Qinglin Sun, Na Dong, Zengqiang Chen, Zhuzhi Yuan. A modified neural network based predictive control for non-linear systems. International Journal of Modelling, Identification and Control 2009, 8(2):91 - 97.
Analog electronics, digital electronics, embedded control systems, motion control, decision support systems.