A Nonlinear Feedback Adaptive Control Method for Improving the Control Performance of Automatic Train Operation

作者：Gao, Shigen^*; Dong, Hairong; Ning, Bin; Wang, Hongwei

来源：37th Chinese Control Conference (CCC), 2018-07-25 To 2018-07-27.

DOI：10.23919/ChiCC.2018.8482995

• DYNAMIC SURFACE CONTROL
• SYSTEMS
• OUTPUT

Automatic train operation technique has gone through developments and advances in urban railways for decades of years in China, which is now a mature technique that frees the train driver from continuous operation during the running process. With respect to the main line railways and high-speed railways, demonstration project and tentative endeavors have been conducted, which are designed to fully exert the capacities of Chinese Train Control System Level 2 and 3 (CTCS-2/3) systems. This paper addresses a nonlinear feedback adaptive control method for improving the tracking control performance of automatic train operation, the feature of the proposed method is that the implemented control gains and learning rates of adaptation laws adjust automatically along with the varying tracking performance during the operation process, which is realized by a well-constructed continuous differentiable nonlinear feedback function. The proposed method requires no prior precise information of the operational resistances, and both theoretical analysis and comparative results demonstrate the effectiveness of the proposed method.

• 出版日期2018
• 单位轨道交通控制与安全国家重点实验室; 北京交通大学