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
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发表时间:
2016
影响因子:
8.5
通讯作者:
Guo Liang
Guo Liang
中科院分区:
工程技术1区
文献类型:
--
作者:
Chen Yao;Dong Hairong;Lu Jinhu;Sun Xubin;Guo Liang

文献摘要

被引文献

相似文献

轮轨间的摩擦力通常称为粘着力,是影响列车运行的关键因素。一方面,列车驱动力过大会导致粘着效应利用不足,造成能量浪费;另一方面,列车驱动力不足会导致列车运行效率低下。为了平衡能量消耗、运行效率和安全性问题,有必要控制列车以获得其最大附着力,特别是在快速加速和紧急制动的情况下。然而,由于工程实验表明列车的附着力和滑移率之间存在复杂的非线性关系,因此这种控制问题是困难和具有挑战性的,特别是当最佳滑移率未知时。针对这一问题,本文在对著名的超扭曲滑模算法进行改进的基础上,提出了一种新的控制方法,并给出了严格的数学分析,保证了所提算法的最终有界性。在此基础上,考虑了四种不同的控制方案,提出了详细的控制和估计算法.仿真结果表明,所提出的控制策略能够控制列车获得最大粘着力。
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.