Model Free Adaptive Iterative Learning Control Based Fault-Tolerant Control for Subway Train With Speed Sensor Fault and Over-Speed Protection

A model free adaptive iterative learning control based fault-tolerant control (MFAILC-FTC) scheme for subway train speed tracking with speed sensor fault and over-speed protection is proposed. Firstly, the train dynamics is transformed into a compact form dynamic linearization (CFDL) data model by a...

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Vydáno v:	IEEE transactions on automation science and engineering Ročník 21; číslo 1; s. 168 - 180
Hlavní autoři:	Zheng, Jianmin, Hou, Zhongsheng
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.01.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Adaptive control Aerodynamics Algorithms Braking Compensation Control methods Controllers Effectiveness Fault tolerance fault-tolerant control (FTC) Iterative learning control Iterative methods Learning Mathematical analysis Model free adaptive iterative learning control (MFAILC) over-speed protection Public transportation Radial basis function networks radial basis function neural networks (RBFNNs) Railway stations Robustness (mathematics) Sensors speed sensor fault Subway stations subway train control Tracking errors Traction Trajectory control Uncertainty
ISSN:	1545-5955, 1558-3783
On-line přístup:	Získat plný text
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