Flight control system sensor hybrid redundancy method based on analytic reconstructed signal

A technology for reconstructing signals and flight control systems, applied in the field of aircraft control, can solve the problems of increasing the take-off weight of the aircraft and the development cost, so as to reduce the hardware redundancy configuration, improve the redundancy level, improve the redundancy level and fault/work horizontal effect

Inactive Publication Date: 2015-06-03
BEIHANG UNIV
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[0010] 3. Increased aircraft take

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  • Flight control system sensor hybrid redundancy method based on analytic reconstructed signal
  • Flight control system sensor hybrid redundancy method based on analytic reconstructed signal
  • Flight control system sensor hybrid redundancy method based on analytic reconstructed signal

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[0038] The present invention will be described in further detail below with reference to the drawings and embodiments.

[0039] The present invention provides a sensor hybrid redundancy method of a flight control system based on analytically reconstructed signals, such as figure 2 with image 3 As shown, when the sensor system has no fault sensors, the monitoring voting system (including the comparator and the voting device) directly outputs the sensor status and voting results; for the triple redundancy sensor system, when a sensor failure occurs, the monitoring voting system can achieve Sensor fault isolation. When the triple redundancy sensor has a secondary fault, the voting result of the monitoring voting system is 1:1. At this time, the fault sensor cannot be identified only by the original monitoring voting system. Therefore, the mixed redundancy provided by the present invention is adopted. The method uses analytical reconstruction signals to form a three-redundancy syste...

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Abstract

The invention discloses a flight control system sensor hybrid redundancy method based on an analytic reconstructed signal, and relates to the technical field of spacecraft control. With the analytic reconstructed signal designed in the hybrid redundancy method, the analytic reconstructed signal only serves as a hot backup signal under regular work condition of a current sensor system, and does not participate in the decision-making strategy of a monitoring voting system; once the voting result of the monitoring voting system is abnormal, the hot backup signal is started for participating voting, the monitoring voting system is used for comparing each sensor measured value with the analytic reconstructed signal, and correct measured value output is given out. Thus, the capacity of processing process faults by purely depending hardware redundancy is improved, and the redundancy level and fault/work level of the sensor system are improved; the hardware maintenance difficulty in later period is also greatly reduced, and the hardware redundancy configuration of the sensor system can also be appropriately reduced if the correctness of the analytic signal can be guaranteed.

Description

technical field [0001] The invention relates to the technical field of aircraft control, and in particular provides a method for identifying an angular rate sensor fault and reconstructing an angular rate signal using an analytical reconstruction technique. Specifically, it refers to a hybrid redundancy method for flight control system sensors based on analytical reconstruction signals, which is a method of combining analytical reconstruction signals and hardware redundancy systems into a hybrid redundancy system to improve the reliability of sensor systems. Background technique [0002] In order to improve the reliability of the aircraft measurement system, the measurement system of modern aircraft usually uses redundant sensors with the same function to measure the same measurand. That is, after a measurement failure occurs in a certain channel, the measurement signals of the remaining channels can still work normally, ensuring that the system has valid signals that can be...

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Application Information

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IPC IPC(8): G05B13/04
Inventor 蔺君张平
Owner BEIHANG UNIV
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