Airplane automatic driving operation simulation method based on long and short term memory network

Abstract

The invention relates to an airplane automatic driving operation simulation method based on a long-short term memory network, and belongs to the field of airplane automatic driving. The whole-process flight data of the air route is used as a training set, the correlation of the data in the time sequence is mined by using a long-short-term memory network, and the mode that a pilot makes a driving behavior decision according to the navigation information of the air route is learned. Through training, a model learns key decision information of flight mode conversion performed by a human pilot according to navigation data. Flight mechanism analysis and data correlation analysis are carried out on independent flight stages, and corresponding model training input is determined. Through training, the model learns a mapping relation from input of a flight state, a flight environment and the like to output of operation variables. Therefore, in the actual flight process of an aircraft, according to the sensed flight state, flight environment and other data, the corresponding operation variables of the throttle lever, the pedal and the pitching rolling rocker are obtained through prediction of the long-short-term memory network model, and therefore automatic driving of the aircraft is achieved.

Description

technical field [0001] The invention belongs to the field of aircraft automatic driving, in particular to an aircraft automatic driving simulation method based on an end-to-end deep neural network model of a long short-term memory (LSTM) network. Background technique [0002] The autopilot of an aircraft is an adjustment device that automatically controls the trajectory of the aircraft according to technical requirements. Its main function is to maintain the attitude of the aircraft and assist the pilot to control the aircraft. Modern autopilots have been widely used in aircraft. The autopilot can ensure that the aircraft automatically flies according to the set route, speed and altitude. If the aircraft deviates from the original attitude, the system can also automatically correct it. The autopilot can complete automatic cruise at high altitudes to maintain stable flight, but some more precise operations, such as takeoff and landing, ground taxiing, and collision avoidance,...

AI Technical Summary

Problems solved by technology

The autopilot can complete automatic cruise at high altitudes to maintain stable flight, but some more precise operations, such as takeoff and landing, ground taxiing, collision avoidance, etc., still require pilot intervention

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