Processing method for horizontal accelerating and decelerating test flight data of airplane

Abstract

The invention provides a processing method for horizontal accelerating and decelerating test flight data of an airplane, which adopts a standard condition, is high in accuracy and is beneficial to improvement of horizontal accelerating and decelerating test flight level of the airplane. The technical scheme includes that the method includes the steps: firstly, obtaining five relational expressions (see the original text) according to a motion equation when the airplane is in horizontal and straight flight, wherein V refers to flight speed, ax refers to longitudinal acceleration, nx refers to longitudinal overload, g refers to gravity acceleration, delta t refers to horizontal accelerating and decelerating speed time of the airplane, and L refers to horizontal accelerating and decelerating distance of the airplane. If the actually measured longitudinal overload nxsj in flight is converted into the longitudinal overload nxbz under a standard condition, then, according to the relational expressions, the horizontal accelerating and decelerating time delta tbz and the horizontal accelerating and decelerating distance Lbz under the standard condition can be represented by: (see relational expressions in the original text).

Description

technical field [0001] The invention relates to a data processing method for aircraft horizontal acceleration and deceleration flight tests in the field of flight tests. Background technique [0002] Horizontal acceleration and deceleration is a major maneuvering performance of an aircraft. It is generally expressed by the time and flight distance required to accelerate or decelerate from one level flight speed to another level flight speed. Since the horizontal acceleration and deceleration of aircraft is easily affected by factors such as atmospheric temperature, engine speed and flight weight, in order to compare the horizontal acceleration and deceleration of two aircrafts in the prior art, the measured data is usually used to approximate the standard condition data, and the horizontal Acceleration and deceleration are converted to standard conditions. The disadvantage of using measured data to approximate standard condition data is that the comparison results are seri...

AI Technical Summary

Problems solved by technology

The disadvantage of using measured data to approximate standard condition data is that the comparison results are seriously distorted.

[0003] Due to the influence of atmospheric temperature, engine speed and flight weight on horizontal acceleration and deceleration, there is no clear functional relationship, so there is no mature method for converting horizontal acceleration and deceleration to standard conditions.

Images