BP (Back Propagation) neural network-based method for measuring air data in flight state with high angle of attack

Abstract

The invention discloses a BP (Back Propagation) neural network-based method for measuring air data in a flight state with a high angle of attack. According to the method, on the premise of not changing the configuration of an aircraft and not adding extra measurement devices and hardware equipment, the traditional airborne inertial navigation system, a global positioning system (GPS) and a flight control system are sufficiently utilized to output parameters, and the precise estimation of air data in a flight state with a high angle of attack is realized on the basis of a BP neural network. The method is beneficial to aircraft stealth, and meanwhile, the measurement range and the measurement precision of an air data system and the adaptability to a flight environment with a high angle of attract are improved, so that the method has the advantages of relative economy and easy engineering realization and has important practical significance to enlarging the measurement range of a new generation of aircrafts in the flight state with a high angle of attract and improving the flight performance of the aircrafts.

Description

technical field [0001] The invention relates to a method for measuring atmospheric data, in particular to a method for measuring atmospheric data based on a BP neural network in a flight state with a large angle of attack, which is used for measuring atmospheric data of an aircraft in a flight state with a large angle of attack. Background technique [0002] Atmospheric data is an important flight parameter of an aircraft. The accuracy and measurement range of atmospheric data are directly related to the normal operation and performance of the aircraft's automatic control system, navigation system, fire control system, flight management system, and cockpit instrument display / warning system. With the development of a new generation of aircraft, the measurement of atmospheric data is facing new problems and challenges. All countries in the world regard the maneuverability and agility of aircraft as important tactical and technical indicators in design. The instantaneous high ...

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Problems solved by technology

[0003] In response to this problem, at present, the measurement of atmospheric data at large angles of attack is realized by researching embedded air data systems and optical air data systems at home and abroad. However, this method of researching new air data systems is technically difficult, calibration and maintenance. The cost is high; in addition, foreign countries have also proposed a method based on the flight dynamics model, using the output data of the inertial navigation system, flight control system, and air data system to estimate the angle of attack and sideslip angle. Flight dynamics model, however, it is difficult to establish an accurate flight dynamics model in practical applications, and this method can only estimate the angle of attack and sideslip angle, and cannot realize the estimation of other atmospheric data

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