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Atmospheric pressure altimeter for measuring using multilayer perception machine nerval net and the measurement method

A multi-layer perceptron, barometric altimeter technology, applied in the field of measurement, can solve the problem of low real-time accuracy, and achieve the effects of overcoming time drift, overcoming temperature drift, and light weight

Inactive Publication Date: 2008-09-17
XIAN UNIV OF TECH
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Problems solved by technology

[0005] The purpose of the present invention is to provide a barometric altimeter that utilizes a multi-layer perceptron neural network to achieve measurement, which solves the problems of time drift and temperature drift in the prior art, and the problem of low real-time accuracy

Method used

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  • Atmospheric pressure altimeter for measuring using multilayer perception machine nerval net and the measurement method
  • Atmospheric pressure altimeter for measuring using multilayer perception machine nerval net and the measurement method
  • Atmospheric pressure altimeter for measuring using multilayer perception machine nerval net and the measurement method

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Embodiment

[0034] The embodiment of the present invention selects the high-speed micro-processing chip ADμC845 produced by American ADI Company, the static pressure sensor selects S17-030A (measurement range: 0~30Psi), and the temperature sensor selects LM50 (measurement range: -55~125°C, precision 0.5°C) , the analog signal output by the sensor is converted into a digital signal by the A / D converter and sent to the CPU of the ADμC845 chip, and the temperature correction of the pressure sensor is completed in the CPU, combined with the above training to obtain a multi-layer neural network mathematical model, and finally an accurate Pressure altitude value, output digital value in the form of RS485 interface through level conversion (MAX488).

[0035] (1) Utilize the data of atmospheric static pressure, temperature and geometric altitude given in the aviation standard HB6127-86, use atmospheric static pressure and temperature as the input of the neural network, and the altitude as the outp...

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Abstract

The invention discloses an atmospheric pressure altimeter for measurement by use of a multilayer perception neural network, which includes static press and a temperature measurement unit, the static press and the temperature measurement unit is orderly connected to an A / D transverter unit, a center process unit, a communication interface unit, which are respectively connected to a power module, the static press and the temperature measurement unit include a static sensor and a temperature sensor, the center process includes microprocessor and data process unit of the multilayer perception neural network. The benefit effect of the invention is that time shift and a temperature time are avoided, learning function is provided and automatically learned through the neural network, difference of real-time precision is under 0.5%, volume is small, weight is light, and reliability is high.

Description

technical field [0001] The invention belongs to the field of measurement technology, and relates to a barometric altimeter which utilizes a multilayer perceptron neural network to realize measurement, and also relates to a measuring method of the barometric altimeter. Background technique [0002] Altitude measurement plays a very important role in the safe flight and automatic control of the aircraft. According to the principle, barometric altimeter mainly has barometric type and radio type. The barometric altimeter is based on the composition and characteristics of the atmosphere, we know the static pressure P of the air s It is largest on the ground and decreases exponentially with height. By measuring the air pressure P s , an indirect measure of height. In addition, because the temperature in the air changes greatly, and the pressure sensor is greatly affected by the temperature, it is necessary to use the output of the temperature sensor to compensate the output of...

Claims

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Application Information

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IPC IPC(8): G01C5/06G01L9/00G01L19/04G06N3/08
Inventor 刘宏昭曲国福
Owner XIAN UNIV OF TECH
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