PID controller design for unmanned aerial vehicle using genetic algorithm

Control of unmanned aerial vehicles (UAVs) is challenging due to inherent nonlinearities and its coupled dynamics. In this paper, an improved proportional-integral-derivative (PID) controller is proposed for UAV motion control with 6 degrees of freedom (DOF). A genetic algorithm is employed to find suboptimal coefficients of PID controller to optimize performance of the closed-loop control system. Simulation results are presented to verify the effectiveness of the proposed control system and also to compare with previous works.

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