Composite recognition method for flight dynamics model of unmanned helicopter

Abstract

The invention discloses a composite recognition method for a flight dynamics model of an unmanned helicopter, which belongs to the field of unmanned aerial vehicle dynamics modeling. The composite recognition method is characterized in that: the unmanned helicopter, a flight control computer, a data station, a ground station, a remote control transmitter and a remote control receiver are involved, wherein the flight control computer is used for assisted control for a recognition experiment to keep the relatively more stable flight conditions such as speed and height of the helicopter at the same time of ensuring the flight safety of the helicopter; a ground operator triggers the dynamic response of the helicopter by a remote control instruction; and the flight control computer adds the remote control instruction into the control input of the unmanned helicopter and records the remote control instruction together with an automatic control instruction for dynamic recognition after a flight experiment. In the method, manual remote control and assisted automatic control are simultaneously introduced, so that the flight dynamics model of the unmanned helicopter can be precisely and safely recognized.

Description

technical field [0001] The invention is a method for identifying the flight dynamics model of an unmanned helicopter, which can safely, accurately and fully identify the flight dynamics model of the unmanned helicopter. It is mainly used in technical fields such as aerospace and drones. Background technique [0002] The flight dynamics model of an unmanned helicopter reflects the control response characteristics of the helicopter to the control input in the flight state. The traditional method is that during the flight of the helicopter, the pilot applies manipulation instructions to the helicopter to stimulate the helicopter to make a dynamic response. This method has been successfully demonstrated on a manned helicopter. [0003] However, this method is difficult to apply on unmanned helicopters. The main reason is that, unlike manned helicopters, the operators of unmanned helicopters need to observe and operate the helicopter with the naked eye on the ground. Therefor...

AI Technical Summary

Problems solved by technology

However, constant acceleration, accurate acceleration distance and flight speed maintenance after the start of the experiment are all observed and manipulated by ground operators, and its accuracy is difficult to guarantee

In addition, since the constant acceleration method cannot solve the problem of the helicopter flying out of sight, the time of the experiment is very limited, so it is difficult to sufficiently stimulate the helicopter

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