Font Size: a A A

Characteristic Compensation And Signal Disposal Platform Design On Flight Control System Sensor Based On LabVIEW

Posted on:2007-07-10Degree:MasterType:Thesis
Country:ChinaCandidate:L GaoFull Text:PDF
GTID:2178360185959549Subject:Guidance and control
Abstract/Summary:PDF Full Text Request
Flight control system (FCS) sensor is used for measuring various kinds of mobile parameters of aerocraft, describing its mobile state and spacial position. It is the principal subunit in the FCS. Whether the characteristic of the sensor is good brings significant effects on the whole FCS. Thus it is essential to do the sensor characteristic compensation to make up for the measure error. Sensor is tightly relative with the technique of instrumental test and measurement. In addition, with the drive of the modern computer technique, virtual instrument (VI) appears. Comparing with the traditional instrument, VI offers sensor signal with flexible, convenient and efficient test and measurement platform. Therefore, aiming at the existent static and dynamic error of FCS sensor, the sensor characteristic compensation subunit is designed in the environment of LabVIEW using VI technique. The sensor signal disposal platform is also developed to realize the time domain measurement, frequency domain analysis, long-distance transfer and network release, etc.Firstly, the static characteristic and nonlinear error of the sensor are analyzed. Aiming at the pressure sensor in FCS, the static nonlinear compensation VI with neural networks(NN) is designed using LabVIEW. Secondly, the dynamic characteristic of the sensor is analyzed. Aiming at the sensor which can be simplified as two-order model, the dynamic compensation VI is designed using LabVIEW in order to broaden the bandwidth of the sensor and to make up for the dynamic measure error. Thirdly, in the environment of LabVIEW, several kinds of VIs used for sensor signal test are designed, including wave generation, time domain measurement, filter disposal, frequency analysis, etc. After that, wavelet analysis in the application of one-dimensional signal de-noise is studied, threshold and translation invariance wavelet de-noise are realized, and wavelet de-noise VI for zero drift signal of the fiber optic gyro in FCS is designed using LabVIEW. Additionally, network test and control technique are studied based on LabVIEW, sensor tele-calibration using DataSocket technique is designed and network release of VI is realized.In the end, the thesis gives the summary to the study and points out the direction of the following work.
Keywords/Search Tags:sensor, flight control system, virtual instrument, LabVIEW, characteristic compensation, signal disposal, wavelet de-noising, DataSocket
PDF Full Text Request
Related items