Adaptive Control Method of UAV Intelligent Rudder Based on Hybrid Genetic Algorithm

This paper proposes a control strategy based on fuzzy GA algorithm for Unmanned Aerial Vehicle (UAV) course control. The control process is very complicated because of the strong nonlinearity and randomness of system dynamics. Therefore, this paper applies different control strategies to solve these problems. Different from previous studies, this paper visualizes the effect of UAV course control through track changes. Through the proportional model to achieve the design of the control scheme, the trajectory tracking of UAV is simulated. Then the advantages and disadvantages of different schemes are analyzed. In addition, the feasibility of hybrid genetic control algorithm is verified. This research experiment shows that the combination of intelligent technology and conventional controller is advantageous to deal with a complex system. The traditional control theory system is perfect, but its performance is poor. The limitation of traditional control theory is improved by technology cooperation. GA based on the traditional controller gain scheduling control to make adaptive adjustment.