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
المؤلفون المشاركون
Zhang, Chang-fan
He, Jing
Zhao, Kaihui
Li, Peng
Li, Yanfei
Yin, Tonghuan
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-04-08
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1200941
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر