An Online Super-Twisting Sliding Mode Anti-Slip Control Strategy

被引：4

作者：

Huang, Zhiwu ^{[1
,2
]}

Du, Wei ^{[1
,2
]}

Chen, Bin ^{[1
,2
]}

Gao, Kai ^{[2
,3
]}

Liu, Yongjie ^{[1
,2
]}

Tang, Xuanheng ^{[1
,2
]}

Yang, Yingze ^{[2
,4
]}

机构：

[1] Cent South Univ, Sch Automat, Changsha 410114, Peoples R China

[2] Hunan Engn Lab Rail Vehicles Braking Technol, Changsha 410114, Peoples R China

[3] Changsha Univ Sci & Technol, Coll Automot & Mech Engn, Changsha 410114, Peoples R China

[4] Cent South Univ, Sch Comp Sci & Engn, Changsha 410114, Peoples R China

来源：

ENERGIES | 2020年 / 13卷 / 07期

基金：

中国国家自然科学基金;

关键词：

anti-slip control; recursive least rquare; differential evolution; super-twisting; ADHESION FORCE;

D O I：

10.3390/en13071823

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The variability of rail surfaces can result in wheel rail slippage, which reduces the accuracy of subway braking systems, or even endangers the operation safety. It is necessary to conduct optimal anti-slip control with the estimation of the wheel rail adhesion state. In this paper, an online super-twisting sliding mode anti-slip control strategy is proposed for subway vehides. Firstly, real-time wheel rail adhesion state estimation is performed by utilizing the recursive least squares algorithm under complex and variable rail surface conditions. Then, the differential evolution algorithm is adopted to search the current optimal slip velocity based on the wheel rail adhesion state. The super-twisting sliding mode controller is designed to implement the optimal sliding velocity tracking. The controller exploits the high-order derivatives of the sliding mode to eliminate chatter vibration and avoid the effect of disturbance, improving the anti-slip control performance. Finally, the effectiveness of the proposed anti-slip strategy is verified by experimental results.

引用

页数：19

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