Adaptive Output Feedback Control for the Trajectory Tracking of High-Speed Trains with Disturbance Uncertainties on the Basis of Neural Network Observers
المؤلفون المشاركون
المصدر
Journal of Advanced Transportation
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-07-09
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص EN
The dynamic model of high-speed trains (HSTs) is nonlinear and uncertain; hence, with the decrease in the running interval of HSTs, an accurate and safe train operation control algorithm is required.
In this study, an adaptive output feedback trajectory tracking control method for HSTs is proposed on the basis of neural network observers.
The proposed method aims to solve problems, such as the immeasurable speed, model parameter disturbance, and unknown external disturbance of HSTs.
In this method, a neural network adaptive observer is designed to estimate the velocity of an HST.
Another neural network model is used to approximate the model uncertainties.
Moreover, a robust controller is constructed by considering the train position and velocity tracking errors.
In the proposed observer/controller, the bound function of estimator errors is introduced to increase the accuracy and safety of the tracking system.
Furthermore, the adaptive update value of the neural networks, output weights, and bound function are performed online.
All adaptive algorithms and the observer/controller are synthesized in nonlinear control systems.
The error signals of the closed-loop trajectory tracking system are uniformly and eventually bounded through a formal proof on the basis of the Lyapunov methods.
Simulation examples illustrate that the proposed controller is robust and has excellent tracking accuracy for system model parameter and external disturbance.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liu, Yang& Li, Weidong. 2020. Adaptive Output Feedback Control for the Trajectory Tracking of High-Speed Trains with Disturbance Uncertainties on the Basis of Neural Network Observers. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1176009
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liu, Yang& Li, Weidong. Adaptive Output Feedback Control for the Trajectory Tracking of High-Speed Trains with Disturbance Uncertainties on the Basis of Neural Network Observers. Journal of Advanced Transportation No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1176009
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liu, Yang& Li, Weidong. Adaptive Output Feedback Control for the Trajectory Tracking of High-Speed Trains with Disturbance Uncertainties on the Basis of Neural Network Observers. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1176009
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1176009
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