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Flight Path Planning And Flight Control Simulation Of Aircraft Approach Process

Posted on:2020-04-27Degree:MasterType:Thesis
Country:ChinaCandidate:P F LiuFull Text:PDF
GTID:2392330605479305Subject:Engineering
Abstract/Summary:PDF Full Text Request
The core of drone technology is flight control technology.Based on the current approach flight principles and flight requirements,a design scheme for an autonomous landing of a fixed-wing UAV presented in this paper.Firstly,the Legendre pseudospectral method used to make flight path planning for the landing flight of the UAV.The optimal control problem for solving the trajectory is transformed into a nonlinear programming problem,which is solved under the MATLB/TOMLAB toolbox.Then results obtained are input to the controller as the flight controller design in the desired state.Flight control law is implemented by pole-placement method,nonlinear dynamic inverse control and backstepping control.During the drone’s glide flight,the glide offset is corrected by the pole-placement method,so that the drone can correct the flight path when the glide channel deviates during the glide flight,and integrate the glide offset control signal as the expected glide.angle.The nonlinear dynamic inversion is used to achieve the speed control during the drone’s descent,so that it can fly at the desired speed.Through the obtained speed control signal and then contacting the drone thrust control signal,the slip error and speed control during the drone’s descending process are realized.That the control method of the angle of attack of UAV was made by the signal of the glide offset and the excepted angle of attack.The control method was made by backstepping control.Finally,the simulation tested results of the autonomous flight controller designed show that the controller can well control the drone in the windless,downwind and upwind environment,used in the MATLAB...
Keywords/Search Tags:Newton’s Method, Legendre Pseudospectral Method, Nonlinear Dynamic Inversion Control, Backstepping Control, Autonomous Landing on Load
PDF Full Text Request
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