Method for measuring deviation rate of airplane relative to side direction of runway

Abstract

The invention relates to a method for measuring the deviation rate of an airplane relative to a side direction of a runway, and belongs to the technical field of avionics display control. The method comprises the steps: firstly collecting the glide deviation of the airplane relative to a standard glide slope, the pressure altitude and ground velocity of the airplane relative to the runway, the length of the runway and a set glide slope angle, and solving the distance between the airplane and a heading beacon station according to the above collected information; secondly solving the acceleration of the airplane in a side direction of the runway according to a roll angle, a pitch angle, a yaw angle, a selected course, and the X-axis, Y-axis and Z-axis accelerations of an airplane body coordinate system; finally obtaining the deviation rate of the airplane relative to the side direction of the runway through employing a complementary filtering algorithm. According to the invention, the method inhibits the high-frequency noise in heading beacon data and the low-frequency noise in inertia data while making the comprehensive use of the heading beacon data and inertia data, is higher in precision of output data, and can support a head-up flight guide function.

Description

technical field [0001] The invention relates to a method for measuring the lateral deviation rate of an aircraft relative to a runway, and belongs to the technical field of avionics display control. Background technique [0002] The lateral deviation rate of the aircraft relative to the runway is an important indicator of the lateral deviation state in the head-up flight guidance function of approach guidance, rollout guidance, and take-off guidance. The accuracy of this parameter directly affects the lateral deviation of the head-up flight guidance function. guided performance. The existing technology usually only measures the lateral deviation rate of the aircraft relative to the runway based on the localizer data or inertial data. The localizer data is full of noise at high frequencies, and the inertial data drifts and errors accumulate over time, resulting in The accuracy of the lateral deviation rate cannot support high-safety applications such as the head-up flight gu...

AI Technical Summary

Problems solved by technology

The existing technology usually only measures the lateral deviation rate of the aircraft relative to the runway based on the localizer data or inertial data. The localizer data is full of noise at high frequencies, and the inertial data drifts and errors accumulate over time, resulting in The accuracy of the lateral deviation rate cannot support high-safety applications such as the head-up flight guidance function

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