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The Design and Semi-Physical Simulation Test of Fault-Tolerant Controller for Aero Engine

  • Yuan Liu , Xin Zhang and Tianhong Zhang EMAIL logo
Published/Copyright: October 26, 2017
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Abstract

A new fault-tolerant control method for aero engine is proposed, which can accurately diagnose the sensor fault by Kalman filter banks and reconstruct the signal by real-time on-board adaptive model combing with a simplified real-time model and an improved Kalman filter. In order to verify the feasibility of the method proposed, a semi-physical simulation experiment has been carried out. Besides the real I/O interfaces, controller hardware and the virtual plant model, semi-physical simulation system also contains real fuel system. Compared with the hardware-in-the-loop (HIL) simulation, semi-physical simulation system has a higher degree of confidence. In order to meet the needs of semi-physical simulation, a rapid prototyping controller with fault-tolerant control ability based on NI CompactRIO platform is designed and verified on the semi-physical simulation test platform. The result shows that the controller can realize the aero engine control safely and reliably with little influence on controller performance in the event of fault on sensor.

Funding statement: This work was supported by National Natural Science Foundation of China (No.51176075, No.61104067).

Nomenclature

Wf

fuel consumption, L/min

A8

nozzle area

nL

speed of low-pressure rotor, %

nH

speed of high-pressure rotor, %

Tt4.5

inlet temperature of low-pressure turbine, K

Wfs

the demand of fuel quantity, kg/s

ΔWf

the remained quantity of fuel, kg/s

CoefnH(t)

the current dynamic coefficient of fuel consumption acceleration

nHm

speed of high-pressure rotor which is output by simplified real-time model, %

nHC

speed of high-pressure rotor which is output by simplified real-time model modified by Kalman filter, %

Δx

the difference between actual measurement and static value of simplified real-time model

ΔU

the difference between actual controlled quantity and static controlled quantity of simplified real-time model

Yi

the filter output

Y

the output of the simplified real-time model

σj

standard deviation

HIL

hardware-in-the-loop

WSSR

weighted sum-squared residual

CLM

component-level model

LVDT

linear variable differential transformer

NI

National Instrument

PXI PCI

extensions for Instrumentation

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Received: 2016-2-25
Accepted: 2016-4-5
Published Online: 2017-10-26
Published in Print: 2017-11-27

© 2017 Walter de Gruyter GmbH, Berlin/Boston

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