Design Of Autopilot For Four-Axis Unmanned Aerial Vehicle And Study Of Control Method

In recent years,due to the rapid development of unmanned aerial vehicles,Unmanned Aerial Vehicle technology has made great progress.With its application field unceasing expansion,the application function and the performance demand also constantly changes.In the field of modern control,Unmanned Aerial Vehicles can be required to achieve autonomous flight.Ordinary remote control of unmanned aerial vehicles can not meet the demand,which makes the autopilot come into being.Traditional unmanned aerial vehicle control system has only one processor,and it can not give the result quickly when dealing with the unexpected situation.A system of adding a processor can ensure that it can quickly respond to a variety of flight control environment.The main controller is mainly used to receive Unmanned Aerial Vehicle speed,acceleration,direction,position and other information collected by the sensitive components,calculate the attitude angles and process control algorithms.To complete the basic data sharing,the main controller establishes communication with coprocessor.The coprocessor can capture the remote control signal and output the control signal of the four-axis vehicle to keep the autopilot's remote control.At the same time,the co-controller can expand the resources and be used for unmanned aerial vehicle late expansion application development.For the control algorithm,this article combines the neural network control algorithm with proportional-integral-derivative controller.It can adapt to the three parameters to achieve fast and stable control of the system.Then simulate this control method.The design of the hardware circuit and the software programming are completed on the basis of overall design,and the processing method of the main controller is proposed innovatively,which can make the flight control system respond quickly.This paper combines the neural network proportional integral derivative controller of the intelligent control algorithm,and it is proved that the algorithm is fast and stable by simulation.Compared with the traditional control algorithm,by which the system maybe occur to overshoot or oscillate,it has obvious advantages.