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Fault diagnosis method for high-speed-train traction-motor nonlinear system sensor

A non-linear system, traction motor technology, used in motor generator testing, instrumentation, measuring electricity, etc., can solve problems such as difficulty in obtaining accurate state estimates

Active Publication Date: 2017-11-07
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

Therefore, traditional observers will encounter bottlenecks when dealing with the above-mentioned uncertain systems, and it is difficult to obtain accurate state estimates

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  • Fault diagnosis method for high-speed-train traction-motor nonlinear system sensor

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Embodiment Construction

[0094] The technical solutions and beneficial effects of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0095] The invention takes the nonlinear system model of the traction motor of the high-speed train as the implementation object, and proposes a fault diagnosis method for the sensor of the nonlinear system of the traction motor of the high-speed train, based on the unknown input observer and interval The observer performs fault diagnosis. This method theoretically realizes the complete elimination of external interference by the fault diagnosis system. It can also use the nonlinear part of the interval information processing system, and can meet the fault estimation of the traction motor system for minor faults.

[0096] Fault diagnosis method of the present invention comprises the following steps:

[0097] Step 1, establish the traction motor state equation and output equation, and expand the state vector and fault ...

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Abstract

The invention discloses a fault diagnosis method for a high-speed-train traction-motor nonlinear system sensor. The method is characterized by firstly, establishing a traction motor state equation and an output equation, expanding a state vector and a fault vector into an augmented vector and acquiring an augmented system state space description equation; for the established augmented system state space description equation, designing an interval observer based on a unknown input observer and constructing an augmented system error dynamic equation; according to the augmented system state space description equation, acquiring a high speed train traction motor fault diagnosis observer gain matrix based on the unknown input observer and the interval observer; and carrying out equivalent linearity transformation on an augmented system so that a system error distribution matrix satisfies a Metzler matrix, and according to the designed observer, acquiring a state estimation value so as to complete on-line fault diagnosis and fault estimation. By using the method, fault diagnosis performance can be increased so that real-time fault diagnosis and fault estimation can be performed on the traction motor system sensor.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis of a nonlinear system of a traction motor of a high-speed train, and relates to a fault diagnosis method for a sensor of a traction motor system of a high-speed train, in particular to a fault estimation method based on a combination of a robust unknown input observer and an interval observer . Background technique [0002] With the advancement of science and technology and the needs of living standards, the continuous development of power electronics technology and electronic control technology has driven the rapid development of railway technology. EMUs, which are moving towards modern technology, are widely used in various railway lines in my country. High-speed trains provide great convenience for our travel. Considering the performance indicators of locomotives such as speed, comfort, and applicable economy, locomotives are safe and reliable. Safety cannot be ignored. It is an importan...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/34G01D18/00
CPCG01D18/00G01R31/343
Inventor 张柯田阳姜斌
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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