CN108036864A - A kind of FIR filtering methods of tail-rotor temperature sensor signal - Google Patents

A kind of FIR filtering methods of tail-rotor temperature sensor signal Download PDF

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Publication number
CN108036864A
CN108036864A CN201711081230.5A CN201711081230A CN108036864A CN 108036864 A CN108036864 A CN 108036864A CN 201711081230 A CN201711081230 A CN 201711081230A CN 108036864 A CN108036864 A CN 108036864A
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CN
China
Prior art keywords
tail
temperature sensor
signal
mrow
rotor
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Pending
Application number
CN201711081230.5A
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Chinese (zh)
Inventor
郑华
杨艳
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Wuhan Aviation Instrument Co Ltd
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Wuhan Aviation Instrument Co Ltd
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Application filed by Wuhan Aviation Instrument Co Ltd filed Critical Wuhan Aviation Instrument Co Ltd
Priority to CN201711081230.5A priority Critical patent/CN108036864A/en
Publication of CN108036864A publication Critical patent/CN108036864A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01KMEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K1/00Details of thermometers not specially adapted for particular types of thermometer
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0423Input/output
    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03HIMPEDANCE NETWORKS, e.g. RESONANT CIRCUITS; RESONATORS
    • H03H17/00Networks using digital techniques
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/20Pc systems
    • G05B2219/21Pc I-O input output
    • G05B2219/21137Analog to digital conversion, ADC, DAC
    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03HIMPEDANCE NETWORKS, e.g. RESONANT CIRCUITS; RESONATORS
    • H03H17/00Networks using digital techniques
    • H03H2017/0072Theoretical filter design
    • H03H2017/0081Theoretical filter design of FIR filters

Abstract

The invention belongs to the anti-deicing field of aircraft, and in particular to a kind of FIR filtering methods of tail-rotor temperature sensor signal.When being rotated at a high speed due to tail-rotor afflux ring assemblies, the pulsation of brush pressure, the interference of external vibration can cause the contact resistance between brush and conducting ring to be shaken, and the temperature sensor signal for making to be passed produces distortion.The present invention utilizes the tail-rotor temperature sensor signal of actual hardware environment collection analysis Noise, utilize the FIR filter design analyzer in Matlab, obtain FIR filtering parameters, temperature signal sampling and filtering process are realized by DSP, interference burr is removed, obtains tail-rotor temperature sensor temperature signal.The tail-rotor temperature sensor temperature signal being submerged in noise can be effectively extracted, there is high certainty of measurement, stable and reliable for performance, measurement range is wide.

Description

A kind of FIR filtering methods of tail-rotor temperature sensor signal
Technical field
The invention belongs to the anti-deicing field of aircraft, and in particular to a kind of FIR filtering sides of tail-rotor temperature sensor signal Method.
Background technology
The anti-deicing system of lifting airscrew is by the way of power supply heating, realizes that main blade deicing function and tail-rotor leaf are prevented Ice function, the anti-icing control of tail-rotor are sampled by arranging two temperature sensors in tail-rotor leaf heating component insulated thermal insulating layer The temperature of two temperature sensors realizes tail-rotor computer heating control.
But since when tail-rotor afflux ring assemblies rotate at a high speed, the pulsation of brush pressure, the interference of external vibration can cause Contact resistance shake between brush and conducting ring, the temperature sensor signal for making to be passed, which produces, to distort, after hardware filtering still Whole burrs cannot be effectively removed, when burr is wider or continuously burr occurs, the temperature signal of multiple repairing weld removes maximum And minimum value, the algorithm being then averaged again will calculate the temperature to make mistake, so as to be mistaken for temperature sensor fails, cause Tail-rotor loses anti-icing function, it is therefore necessary to goes flash removed to obtain tail-rotor temperature sensor temperature using effectively software filtering mode Signal.
The content of the invention
Goal of the invention:A kind of FIR filtering methods of tail-rotor temperature sensor signal are provided, it is effective to remove interference burr, Obtain tail-rotor temperature sensor temperature signal.
Technical solution:The FIR filtering methods of tail-rotor temperature sensor signal of the present invention, comprise the following steps:
(1) low-pass cut-off frequencies are determined according to the signal of temperature sensor;
(2) utilize Matlab in FIR filter design analyzer, by the low-pass cut-off frequencies, sample frequency and Default filter order n obtains corresponding filtering parameter array H [i] as input(0≤i≤n-1), amplitude-frequency response and phase-frequency response;
(3) the ADC sample frequencys of DSP are set, with reference to above-mentioned filtering parameter array H [i](0≤i≤n-1), to real-time sampling temperature Spend signal array X [i](0≤i≤k-1), following filtering process is carried out, obtains filtering temperature array f (m):
Wherein, k is the length of sample temperature signal array;
(4) smothing filtering is carried out to filtering temperature array, averages and obtain the temperature value of tail-rotor temperature sensor.
In the step (1), by the signal of DSP measurement temperature sensors under use environment, by temperature signal Low-pass cut-off frequencies of the frequency that burr occurs as FIR filtering methods.
In the step (2), according to the time demand of signal transmission, the temperature signal of tail-rotor temperature sensor is determined more The new time, and the sample frequency of tail-rotor temperature sensor is set accordingly.
In the step (2), trickle adjustment is carried out to filtering parameter as needed.
In the step (4), take and go small mode to eliminate spiking greatly.
The present invention is utilized using the tail-rotor temperature sensor signal of actual hardware environment collection analysis Noise FIR filter design analyzer in Matlab, obtains FIR filtering parameters, is realized by DSP at temperature signal sampling and filtering Reason, removes interference burr, obtains tail-rotor temperature sensor temperature signal.
Beneficial effect:Collecting ring method for processing noise provided by the invention based on FIR filtering, which can be extracted effectively, to be flooded Tail-rotor temperature sensor temperature signal in noise, has high certainty of measurement, the spy such as stable and reliable for performance, measurement range is wide Point.
Brief description of the drawings
Fig. 1 is flow chart of the method for the present invention.
Embodiment
The present invention is described in further details below.
Referring to Fig. 1, of the invention comprises the following steps that:
1. by the signal of DSP measurement temperature sensors under use environment, the frequency that burr in temperature signal is occurred Low-pass cut-off frequencies as FIR filtering methods;The time demand sent according to signal, determines the temperature of tail-rotor temperature sensor Signal update time, and the sample frequency of tail-rotor temperature sensor is set accordingly;
2. using the FIR filter design analyzer in Matlab, according to above-mentioned low-pass cut-off frequencies and sample frequency, with And default filter order n, obtain corresponding filtering parameter array H [i](0≤i≤n-1), amplitude-frequency response and phase-frequency response, according to need Trickle adjustment is carried out to filtering parameter;
3. the ADC sample frequencys of DSP are set, with reference to above-mentioned filtering parameter array H [i](0≤i≤n-1), to real-time sampling temperature Signal array X [i](0≤i≤k-1), following filtering process is carried out, obtains filtering temperature array f (m):
Wherein, k is the length of sample temperature signal array;
The small rear mode being averaging is gone to eliminate spiking greatly 4. the temperature array drawn after filtering is taken, and finally Draw the temperature value of tail-rotor temperature sensor.
After the filtering measures, proved by a large number of experiments, tail-rotor temperature sensor temperature signal is not judged by accident, is said The bright filtering measures taken are correctly effective, can filter out collecting ring well and rotate the interference brought at a high speed, ensure that tail-rotor temperature is adopted Sample is correct.

Claims (5)

1. a kind of FIR filtering methods of tail-rotor temperature sensor signal, it is characterised in that this method comprises the following steps:
(1) low-pass cut-off frequencies are determined according to the signal of temperature sensor;
(2) the FIR filter design analyzer in Matlab is utilized, by the low-pass cut-off frequencies, sample frequency and is preset Filter order n as input, obtain corresponding filtering parameter array H [i](0≤i≤n-1), amplitude-frequency response and phase-frequency response;
(3) the ADC sample frequencys of DSP are set, with reference to above-mentioned filtering parameter array H [i](0≤i≤n-1), real-time sampling temperature is believed Number group X [i](0≤i≤k-1), following filtering process is carried out, obtains filtering temperature array f (m):
<mrow> <mi>f</mi> <mrow> <mo>(</mo> <mi>m</mi> <mo>)</mo> </mrow> <mrow> <mo>(</mo> <mn>0</mn> <mo>&amp;le;</mo> <mi>m</mi> <mo>&lt;</mo> <mi>k</mi> <mo>-</mo> <mi>n</mi> <mo>-</mo> <mn>1</mn> <mo>)</mo> </mrow> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>n</mi> <mo>-</mo> <mn>1</mn> </mrow> <mrow> <mi>i</mi> <mo>=</mo> <mn>0</mn> </mrow> </munderover> <mi>X</mi> <mo>&amp;lsqb;</mo> <mi>i</mi> <mo>+</mo> <mi>m</mi> <mo>&amp;rsqb;</mo> <mo>&amp;times;</mo> <mi>H</mi> <mo>&amp;lsqb;</mo> <mi>i</mi> <mo>&amp;rsqb;</mo> </mrow>
Wherein, k is the length of sample temperature signal array;
(4) smothing filtering is carried out to filtering temperature array, averages and obtain the temperature value of tail-rotor temperature sensor.
2. FIR filtering methods according to claim 1, it is characterised in that:In the step (1), used by DSP The signal of measurement temperature sensor under environment, cuts the frequency that burr in temperature signal occurs as the low pass of FIR filtering methods Only frequency.
3. FIR filtering methods according to claim 1, it is characterised in that:In the step (2), sent according to signal Time demand, determine temperature signal renewal time of tail-rotor temperature sensor, and adopting for tail-rotor temperature sensor is set accordingly Sample frequency.
4. FIR filtering methods according to claim 1, it is characterised in that:In the step (2), as needed to filter Wave parameter carries out trickle adjustment.
5. FIR filtering methods according to claim 1, it is characterised in that:In the step (4), take go greatly it is small Mode eliminate spiking.
CN201711081230.5A 2017-11-06 2017-11-06 A kind of FIR filtering methods of tail-rotor temperature sensor signal Pending CN108036864A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711081230.5A CN108036864A (en) 2017-11-06 2017-11-06 A kind of FIR filtering methods of tail-rotor temperature sensor signal

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711081230.5A CN108036864A (en) 2017-11-06 2017-11-06 A kind of FIR filtering methods of tail-rotor temperature sensor signal

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CN108036864A true CN108036864A (en) 2018-05-15

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Citations (8)

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Publication number Priority date Publication date Assignee Title
CN1566984A (en) * 2003-06-19 2005-01-19 中国科学院声学研究所 Method for sonar array signal simulation by utilizing interpolation filter
CN1976224A (en) * 2006-12-15 2007-06-06 天津大学 Low pass continuous adjustable filter and filtering method
CN202406100U (en) * 2011-12-16 2012-08-29 中船重工(武汉)凌久电子有限责任公司 High-precision digital-to-analog converter for band-limited signals
CN103124168A (en) * 2011-11-21 2013-05-29 天津中兴软件有限责任公司 Digital filtering method
CN103792969A (en) * 2013-11-28 2014-05-14 佛山市汉隆自动化技术有限公司 Multi-loop intelligent temperature control module
CN104825140A (en) * 2014-02-11 2015-08-12 瞿浩正 Digital filter method for pulse wave extraction, and digital filter
US20150280943A1 (en) * 2012-10-23 2015-10-01 Yushan Hao Data Sampling Method and System, and Application Method and System Thereof in Parameter Identification
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Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1566984A (en) * 2003-06-19 2005-01-19 中国科学院声学研究所 Method for sonar array signal simulation by utilizing interpolation filter
CN1976224A (en) * 2006-12-15 2007-06-06 天津大学 Low pass continuous adjustable filter and filtering method
CN103124168A (en) * 2011-11-21 2013-05-29 天津中兴软件有限责任公司 Digital filtering method
CN202406100U (en) * 2011-12-16 2012-08-29 中船重工(武汉)凌久电子有限责任公司 High-precision digital-to-analog converter for band-limited signals
US20150280943A1 (en) * 2012-10-23 2015-10-01 Yushan Hao Data Sampling Method and System, and Application Method and System Thereof in Parameter Identification
CN103792969A (en) * 2013-11-28 2014-05-14 佛山市汉隆自动化技术有限公司 Multi-loop intelligent temperature control module
CN104825140A (en) * 2014-02-11 2015-08-12 瞿浩正 Digital filter method for pulse wave extraction, and digital filter
CN106323277A (en) * 2015-07-10 2017-01-11 褚秀清 Signal collection circuit of laser gyroscope inertial navigation instrument

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* Cited by examiner, † Cited by third party
Title
张波等: "基于DSP的FIR低通滤波器设计", 《电声技术》 *
李清等: "基于FPGA的多功能数字滤波器设计", 《湖北第二师范学院学报》 *

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