![](/images/graphics-bg.png)
Adaptive Output Feedback Control for the Trajectory Tracking of High-Speed Trains with Disturbance Uncertainties on the Basis of Neural Network Observers
Joint Authors
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-09
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1176009