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Online Accurate Estimation of the Wheel-Rail Adhesion Coefficient and Optimal Adhesion Antiskid Control of Heavy-Haul Electric Locomotives Based on Asymmetric Barrier Lyapunov Function
Joint Authors
Zhang, Chang-fan
He, Jing
Zhao, Kaihui
Li, Peng
Li, Yanfei
Yin, Tonghuan
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-08
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This paper proposes a new scheme of online accurate estimation of wheel-rail adhesion coefficient and optimal adhesion antiskid control of heavy-haul electric locomotives (HHEL) based on sliding mode and asymmetric barrier Lyapunov function (ABLF) theory.
To achieve optimal adhesion control of the HHEL, it is necessary to precisely estimate the wheel-rail adhesion coefficient.
However, the adhesion coefficient is difficult to be measured with a conventional physical sensor.
The first novelty of this paper is to design a smart adhesion coefficient sensor based on sliding mode observer (SMO).
The perception of the adhesion coefficient is transformed into the observation of load torque of the traction motors, and the wheel-rail adhesion coefficient is further calculated by using the load torque observed value.
The HHEL achieves maximum traction from operating in the optimal adhesion point.
However, wheel skidding is most likely to occur at this point.
According to the changing trend of the adhesive coefficient characteristic curve, the operating state of a locomotive can be divided into two regions: the stable and skid regions.
The second novelty of this paper is the adaptation of ABLF to guarantee that the HHEL operated at a stable region and the optimal adhesion antiskid control of HHEL is achieved.
Finally, the simulation and experimental results verify the feasibility and effectiveness of the proposed method.
American Psychological Association (APA)
Zhao, Kaihui& Li, Peng& Zhang, Chang-fan& He, Jing& Li, Yanfei& Yin, Tonghuan. 2018. Online Accurate Estimation of the Wheel-Rail Adhesion Coefficient and Optimal Adhesion Antiskid Control of Heavy-Haul Electric Locomotives Based on Asymmetric Barrier Lyapunov Function. Journal of Sensors،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1200941
Modern Language Association (MLA)
Zhao, Kaihui…[et al.]. Online Accurate Estimation of the Wheel-Rail Adhesion Coefficient and Optimal Adhesion Antiskid Control of Heavy-Haul Electric Locomotives Based on Asymmetric Barrier Lyapunov Function. Journal of Sensors No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1200941
American Medical Association (AMA)
Zhao, Kaihui& Li, Peng& Zhang, Chang-fan& He, Jing& Li, Yanfei& Yin, Tonghuan. Online Accurate Estimation of the Wheel-Rail Adhesion Coefficient and Optimal Adhesion Antiskid Control of Heavy-Haul Electric Locomotives Based on Asymmetric Barrier Lyapunov Function. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1200941
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1200941