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- Title
Nonlinear Robust Observer-Based Fault Detection for Networked Suspension Control System of Maglev Train.
- Authors
Yun Li; Guang He; Jie Li
- Abstract
A fault detection approach based on nonlinear robust observer is designed for the networked suspension control system of Maglev train with random induced time delay. First, considering random bounded time-delay and external disturbance, the nonlinear model of the networked suspension control system is established. Then, a nonlinear robust observer is designed using the input of the suspension gap. And the estimate error is proved to be bounded with arbitrary precision by adopting an appropriate parameter. When sensor faults happen, the residual between the real states and the observer outputs indicates which kind of sensor failures occurs. Finally, simulation results using the actual parameters of CMS-04 maglev train indicate that the proposed method is effective for maglev train.
- Subjects
NONLINEAR systems; ROBUST control; TIME delay systems; PARAMETER estimation; SUSPENSION of railroad cars; REAL property
- Publication
Mathematical Problems in Engineering, 2013, p1
- ISSN
1024-123X
- Publication type
Article
- DOI
10.1155/2013/713560