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Research on Simulation for Fault Diagnosis of Aeroengine Digital Control System

Author: TanKe
Tutor: HuangXiangHua
School: Nanjing University of Aeronautics and Astronautics
Course: Aeronautical and Astronautical Science and Technology
Keywords: Aircraft engine Fault Diagnosis Sensor failure Kalman filter cluster Analytical redundancy Device Drivers Real-time simulation
CLC: V263.6
Type: Master's thesis
Year: 2008
Downloads: 246
Quote: 0
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Abstract


Modern aero-engine control system , full authority digital electronic control (FADEC) has become an inevitable trend , the successful application of the premise of the FADEC system is a high degree of reliability . The purpose of this study is to improve the reliability of the FADEC system sensor fault detection, isolation and adaptation (FDIA) technology , and the environment for real-time simulation using Matlab / Simulink / RTW (Real-time Workshop) . In this paper, a turboshaft engines for the study, first discussed its linearization , followed by the establishment of the the simulation engine acceleration and deceleration process large deviations state variable model and successfully transplanted to the engine model in Simulink . Based on Kalman filtering theory and multiple fault hypothesis testing theory , were designed for single and multiple sensor fault diagnosis Kalman filter cluster , and to test the value of the constant gain Kalman filter state estimation the ability of its robustness , stability , observability , subsequent digital simulation results show that the method for sensor fault diagnosis is feasible . In order to achieve the Matlab environment , fault diagnosis platform model computer control of the connection between the computer and interface signal emulator , several serial communication Matlab , then register programming , the development of a real-time window target the applicable serial and Advantech PCI1780 card driver module environment . Last sensor FDIA system in Simulink and simulate various fault on the control computer , FDIA system performance validation experiments carried out including the interface signal emulator . The simulation results show that the FDIA system can detect single or multiple sensor faults , and provides the correct analytical redundancy .

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CLC: > Aviation, aerospace > Aviation > Aeronautical Manufacturing Technology > Aero-engine manufacturing > Fault Analysis and
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