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Research on dynamic nonlinear input prediction of fault diagnosis based on fractional differential operator equation in high-speed train control system.
- Source :
-
Chaos . Jan2019, Vol. 29 Issue 1, pN.PAG-N.PAG. 6p. 1 Diagram, 4 Charts, 7 Graphs. - Publication Year :
- 2019
-
Abstract
- In order to control the nonlinear high-speed train with high robustness, the fractional order control of nonlinear switching systems is studied. The fractional order controller is designed for a class of nonlinear switching systems by the fractional order backstepping method. In this paper, a simple and effective online updating scheme of model coefficients is proposed by using the flexibility of the model predictive control algorithm and its wide range of model accommodation. A stochastic discrete nonlinear state space model describing the mechanical behavior of a single particle in a high-speed train is constructed, and the maximum likelihood estimation of the parameters of a high-speed train is transformed into an optimization problem with great expectations. Finally, numerical comparison experiments of motion characters of two high-speed trains are given. The results show the effectiveness of the proposed identification method. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10541500
- Volume :
- 29
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Chaos
- Publication Type :
- Academic Journal
- Accession number :
- 134425337
- Full Text :
- https://doi.org/10.1063/1.5085397