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Design And Research Of The Virtual Instrumentation System For Fixed-wing Aircraft Electric Mechanism

Posted on:2011-07-13Degree:MasterType:Thesis
Country:ChinaCandidate:Y B HouFull Text:PDF
GTID:2232330395957793Subject:Navigation, guidance and control
Abstract/Summary:PDF Full Text Request
Nowadays, aircraft plays a more important role in daily living and production. Complexity of aircraft structure, many aircraft electric equipments in it, leads to a high probability in malfunction and hidden danger. Aircraft accident threatens safeties of lives and properties seriously. Based on above, safety detections for aircrafts, especially electric mechanism becomes particularly important.Detection methods are almost the same despite of different aircraft electric mechanisms. For different electric mechanisms, detected data ranges are different. Traditional detection method needs to change detecting instruments frequently which result in low detecting efficiency and instruments dispersion. Virtual instrument technology has been a hot topic recently, it satisfies traditional detection needs by the combination of software and hardware. It can also promote efficiency and integration of the detection which repair defects of traditional detection method.This paper designs a virtual detection system for a given type wing-fixed craft, for detecting the operation status of its electric mechanism. The detection system are programmed by the software supplied by NI company and constructed a PXI system by PXI module also provided by NI company. A signal-processing-box is designed for processing and transferring signals to the PXI system. In the system, motor speed control is detected by fuzzy PID, sensor errors are compensated and corrected by segment-linear method, detection results are analyzed by expert system for judging the working state of the engine and checking the failure may existed.Virtual detection system satisfies the need of designation. In the virtual detection system, fuzzy PID meets the demand of engine control, segment-linear method can compensate and correct the sensor errors effectively, result analysis by expert system make the whole system more intelligent.
Keywords/Search Tags:PXI system, Virtual instruments, fuzzy PID, error correction, expert system
PDF Full Text Request
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