Fault detection in electromagnetic suspension systems with state estimation methods

Conference · Mon Nov 01 04:00:00 EST 1993 · IEEE Transactions on Magnetics (Institute of Electrical and Electronics Engineers); (United States)

OSTI ID:6826664

Sinha, P K; Zhou, F B; Kutiyal, R S ^[1]

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1. Univ. of Reading (United Kingdom). Dept. of Engineering

High-speed maglev vehicles need a high level of safety that depends on the whole vehicle system's reliability. There are many ways of attaining high reliability for the system. Conventional method uses redundant hardware with majority vote logic circuits. Hardware redundancy costs more, weigh more and occupy more space than that of analytically redundant methods. Analytically redundant systems use parameter identification and state estimation methods based on the system models to detect and isolate the fault of instruments (sensors), actuator and components. In this paper the authors use the Luenberger observer to estimate three state variables of the electromagnetic suspension system: position (airgap), vehicle velocity, and vertical acceleration. These estimates are compared with the corresponding sensor outputs for fault detection. In this paper, they consider FDI of the accelerometer, the sensor which provides the ride quality.

• OSTI ID: 6826664
• Report Number(s): CONF-930416--
• Conference Information: Journal Name: IEEE Transactions on Magnetics (Institute of Electrical and Electronics Engineers); (United States) Journal Volume: 29:6Pt1
• Country of Publication: United States
• Language: English

Related Subjects

33 ADVANCED PROPULSION SYSTEMS
330300* -- Advanced Propulsion Systems-- Electric-Powered Systems
COORDINATES
DATA
DIAGNOSTIC TECHNIQUES
ELECTRICAL EQUIPMENT
ELECTROMAGNETS
EQUIPMENT
EXPERIMENTAL DATA
FAILURES
FEEDBACK
INFORMATION
LEVITATED TRAINS
MAGNETS
NUMERICAL DATA
PROBABILISTIC ESTIMATION
RELIABILITY
TRAINS
VEHICLES