Online Estimation of the Adhesion Coefficient and Its Derivative Based on the Cascading SMC Observer

المؤلفون المشاركون

Zhang, Chang-fan
He, Jing
Sun, Jian
Liu, Linfan

المصدر

Journal of Sensors

العدد

المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-11، 11ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2017-01-03

دولة النشر

مصر

عدد الصفحات

11

التخصصات الرئيسية

هندسة مدنية

الملخص EN

The adhesion coefficient of wheel-rail surface cannot be directly measured, so a cascaded sliding-mode observer is proposed to observe adhesion coefficient and its derivative.

A kinetic model for running heavy-duty locomotive is also established.

The state equation of wheel adhesion control system is derived from the equation of traction motor torque balance, and adhesion coefficient is proposed to be calculated by load torque.

Then, the cascaded sliding-mode observer is designed, and its stability is justified by Lyapunov stability.

Based on the equivalence control principle for sliding-mode variable structure, an algorithm to estimate adhesion coefficient and its derivative is established.

The simulation and experimental results are used to verify the effectiveness of the observer with load variations or wheel-rail status changes.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Zhang, Chang-fan& Sun, Jian& He, Jing& Liu, Linfan. 2017. Online Estimation of the Adhesion Coefficient and Its Derivative Based on the Cascading SMC Observer. Journal of Sensors،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1187502

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Zhang, Chang-fan…[et al.]. Online Estimation of the Adhesion Coefficient and Its Derivative Based on the Cascading SMC Observer. Journal of Sensors No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1187502

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Zhang, Chang-fan& Sun, Jian& He, Jing& Liu, Linfan. Online Estimation of the Adhesion Coefficient and Its Derivative Based on the Cascading SMC Observer. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1187502

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1187502