Method for identifying rotation speed high teeth based on multi-point bubbling method

Abstract

The invention belongs to a signal processing technique, and relates to a method for identifying rotation speed high teeth based on a multi-point bubbling method. The method comprises the following steps of utilizing a processor manufactured by an FPGA (field programmable gate array) on site to control an A / D (analog to digital) converter to collect a rotation speed signal with high teeth at high speed; effectively identifying the waveform corresponding to each tooth of a phonic wheel by a threshold identifying and digital filtering method; extracting the waveform amplitude by the multi-point bubbling method; identifying the high teeth by a first-in first-out amplitude comparing method. The method has the advantages that the waveform identifying and amplitude extraction accuracy and the anti-interference property are improved by the high-speed A / D conversion and digital filtering method, the rotation speed range of high tooth identifying is widened by the multi-point bubbling method, and the accuracy and real-time property of the high tooth identifying are improved by the first-in first-out amplitude comparing result storing method.

Description

technical field [0001] The invention belongs to the signal processing technology, and relates to a method for identifying high-speed teeth based on a multi-point bubbling method. Background technique [0002] In the engine numerical control system, the signal collected by the speed sensor is the speed signal in the key control signal of the engine. The speed sensor with high teeth is a unique sensor in the control system of the aero-engine, which is used for simultaneous speed detection and rotor positioning of the associated rotor. Through the real-time recognition of the high-tooth waveform, the position of the rotor can be located, and combined with the processing of the vibration signal, the rotational health of the aero-engine can be detected, which helps to improve the safety and maintainability of the aircraft. [0003] Take the magnetoelectric speed sensor as an example, such as figure 1 As shown, the rotational speed sensor signal is generated because the magnetic...

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Problems solved by technology

In addition, processing defects of teeth or external electrical environment often introduce high-frequency interference

[0004] The general method usually can only deal with occasions with good waveform continuity and large amplitude at high frequencies, and the recognition range is narrow; in addition, due to the unsatisfactory waveform shape, the extraction of amplitude is often not accurate enough; the lack of anti-interference ability also affects High real-time and accuracy of tooth recognition

[0005] From the beginning of the research on the full-authority digital electronic control technology of domestic aero-engines to the product being put into use so far, the speed sensor with high teeth is used for the first time in the domestic aviation field, and there is a lack of mature high-tooth waveform recognition methods

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