Genetic algorithm based optimization of fuzzy logic for UAV landing

This paper present Fuzzy logic Controller method for developing robust tracking controller for UAV (Unmanned Ariel Vehicle) automatic landing systems. Genetic algorithm-based optimization fuzzy logic systems, and inner stability loop gains for UAV landing control has been designed with a pre determined flight path trajectory for safe landing in atmospheric disturbances environments. The actual optimization is done offline. Fuzzy logic control applications to UAV automatic landing control are presented. This paper Apply the genetic algorithm to optimize FLC, and inner gains with wind disturbance encountered during landing. Simulation results show longitudinal motion in our model that the fuzzy logic controller can be used instead of conventional auto Lander to provide good performance and robustness properties.