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

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...

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