2018

Dynamic Modeling and Simulation of Quadrotor for Different Flight Conditions

In this paper, a four-rotor unmanned aerial vehicle was modeled, a control system was designed and performance evaluations weremade. For the control system, a separate mathematical model of the unmanned aerial vehicle longitudinal, lateral and vertical take-offand landing operations is omitted and is expressed as a state space model. The mathematical model of the wind disturbances that willaffect the unmanned aerial vehicle during the flight was created and the situation was added to the space model. Proportional IntegralDerivative (PID) control algorithm was used as the control. Unmanned aerial vehicle modeling was done in Solidworks andsimulations were done in Matlab / Simulink program.

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