Abstract: A fuzzy-integration controller of a small fixed-wing unmanned aerial vehicle (UAV) is proposed according to requirements of longitudinal attitude control and trajectory track. For avoiding complexity of the controller parameters adjustment and improving control performances, the genetic algorithm is used to optimize the membership functions of fuzzy control. The design variables and constrains are defined and the tuning principle of proportional factor is presented during the optimization design phase. Simulation results show that the fuzzy-integration controller has a quicker response and better robustness than traditional PID controller and can solve the problems of low response precision and response curve flutter for single fuzzy controller.