CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 13251 > Article
Paper
28 August 2024 Fixed-time fault-tolerant control of electric multiple unit based on fuzzy adaptive
Guojin Zhang, Maoqing Li
Author Affiliations +
Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 132514N (2024) https://doi.org/10.1117/12.3039566
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China
Abstract
A fault-tolerant controller is designed using a fuzzy control strategy for scenarios in which there are external disturbances and partial failures of traction/braking actuators during the operation of Electric Multiple Unit (EMU). Firstly, the kinematic equations are listed in the force analysis. The single-mass model of the EMU under the fault is established by considering the external perturbation and the partial failures of the actuators. Secondly, within the framework of the backstepping method, a fuzzy logic system is used to approximate the uncertainty terms in the single-mass mode and an adaptive strategy is used to estimate in real time the uncertainty values present in the system function. Finally, the fault-tolerant controller design process is closely integrated with the finite-time Lyapunov stable theory, which ensures that the closed-loop system consisting of the single-mass model and the controller is stable. The tracking error can converge to a small neighbourhood near the origin at a fixed time, and the convergence time is independent of the initial state of the system. The simulation results show that the CRH3 EMU can effectively track the desired position and speed curves, and the precision stopping error meets the requirement within ±30cm.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Guojin Zhang and Maoqing Li "Fixed-time fault-tolerant control of electric multiple unit based on fuzzy adaptive", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 132514N (28 August 2024); https://doi.org/10.1117/12.3039566
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 6 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Actuators
Fuzzy logic
Fuzzy systems
Design
Adaptive control
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top