HEQING SUN(CV)
- hqsun@illinois.edu
- Visiting Scholar (2011.9-2012.9)
- Doctoral Candidate, Beijing Jiaotong University (expected graduation 2012)
- Research Interest: Iterative Learning Control, Data-Driven Control, Automatic Train Operation, Freeway Traffic Control
___
Research
My research field focuses on iterative learning control (ILC) and its application in railway transportation systems.
Automatic Train Operation (ATO) system is an integral part of high-speed train for high safety requirement. It is worth noting that entire operation of trains from station to station is characterized by high repetition. The train, especially subway train and high-speed train, operates according to its operation diagrams on the same track strictly every day, and its operating environment and transit task almost remain unchanged. This operation pattern leaves train operation an inherent outstanding feature, that is, it runs over a certain track repeatedly every day, every week, or even every year. It motivates the application of ILC into ATO. In addition, due to the complexity of train motion dynamics, it is difficult to obtain the accurate physical model. Thus control methods, which require accurate models, cannot satisfy the demand of security, comfort and punctuality of high-speed train. While, ILC require less priori knowledge of system model, and hence it is an almost model-free method. All these characteristics of ILC indicate that it is an ideal tool to deal with train operation.
Selected Publications
For a complete list of publications, see my CV
[1] Heqing Sun, Zhongsheng Hou, and Tao Tang. An Iterative Learning Approach for Train Trajectory Tracking Control. International Federation of Automatic Control, Milan, Italy, Aug.28-Sept.2, 2011.
[2] Heqing Sun, and Zhongsheng Hou. A Data-driven Adaptive Iterative Learning Predictive Control for A Class of Discrete-time Nonlinear Systems. Proceedings of the 29th Chinese Control Conference, Beijing, China, Jul. 28-31, 2010.
[3] Yulei Zhang, Heqing Sun, and Zhongsheng Hou. A Feedback-feedforward High Order Iterative Learning Control for Freeway Ramp Metering. International Conference on Intelligent Control and Information Processing, Dalian, China, Aug. 13-15, 2010.