A super-twisting-like algorithm and its application to train operation control with optimal utilization of adhesion force
A super-twisting-like algorithm and its application to train operation control with optimal utilization of adhesion force
复制标题
类超扭曲算法及其在附着力优化利用列车运行控制中的应用
DOI:
10.1109/tits.2016.2539361
复制
发表时间:
2016
影响因子:
8.5
通讯作者:
Guo Liang
中科院分区:
文献类型:
--
作者:
Chen Yao;Dong Hairong;Lu Jinhu;Sun Xubin;Guo Liang
The friction between wheel and track is usually called adhesion force, and it is the critical factor for the movement of trains. On one hand, excessive driving force of a train may lead to insufficient utilization of the adhesion effect and cause wasted energy; on the other hand, insufficient driving force of a train brings inefficient train operation. To balance the issues of energy consumption, operational efficiency, and security, it is necessary to control a train to obtain its maximal adhesion force, particularly in the cases of fast acceleration and emergency braking. However, since engineering experiments indicate a complex nonlinear relationship between the adhesion force and the slip ratio of a train, such a control problem is difficult and challenging, particularly when the optimal slip ratio is unknown. Facing this problem, this paper proposes a novel control method based on the modification of the famous super-twisting sliding mode algorithm, and rigorous mathematical analysis is given to guarantee the ultimate boundedness of the proposed algorithm. Furthermore, by considering four different control scenarios, detailed control and estimation algorithms are both proposed. Simulation result verifies that the proposed control strategy can control the train to obtain its maximum adhesion force.