Unmanned aerial vehicle flight trajectory tracking control system

Abstract

The invention discloses an unmanned aerial vehicle flight trajectory tracking control system. The unmanned aerial vehicle flight trajectory tracking control system comprises a trajectory rider, a longitudinal controller and a lateral controller. Under the effect of the unmanned aerial vehicle flight trajectory tracking control system, climb of an unmanned aerial vehicle can be realized fast, and height errors can be eliminated, and flight trajectory tracking can be kept, and overall trajectory tracking accuracy is higher. According to the unmanned aerial vehicle flight trajectory tracking control system of the invention, a sensor can be fully utilized to measure flight state information which is obtained through feedback. The unmanned aerial vehicle flight trajectory tracking control system can realize high control accuracy by fusing more useful information. The unmanned aerial vehicle flight trajectory tracking control system is suitable for complex multi-variable systems such as an aircraft.

Description

technical field [0001] The invention relates to the technical field of flight control of a fixed-wing unmanned aerial vehicle, in particular to a flight trajectory tracking control system for an unmanned aerial vehicle. Background technique [0002] The task of the UAV flight trajectory control system is to enable the UAV to automatically fly according to the predetermined route, and to control the distance of the aircraft from the reference route. [0003] Classical PID control is the most widely used in UAV trajectory tracking control, and it also has a good effect. However, it is a univariate design method, which is most suitable for univariate systems, while unmanned aerial vehicles are complex multivariable systems, and the coupling between each state is serious. Using PID control usually ignores the relationship between each state in the design. Due to the coupling effect between them, there are many control parameters, and the design process of control parameters is ...

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Problems solved by technology

However, it is a univariate design method, which is most suitable for univariate systems, while unmanned aerial vehicles are complex multivariable systems, and the coupling between each state is serious. Using PID control usually ignores the relationship between each state in the design. Coupling effect among them, there are many control parameters, and the design process of control parameters is also relatively complicated

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