Aiming at the main issues of the difficult mathematical representation of the unmanned combat aerial vehicle (UCAV) tactical maneuvering, and the high maneuvergenerated computational real-time requirements, the paper analyzes the basic principle of tactical maneuvering trajectory modeling, proposes the basic idea of tactical maneuver modeling, designs the optimal trajectory control scheme based on UCAV kinematic model, and the strategy of solving flight control based on genetic algorithm is established. Focusing on the realtime problem of control quantity solution, based on the radical basis function neural networks, the paper proposes a fast method of solving flight control quantity based on fitness function as prediction and evaluation criterion, and a nonlinear mapping model of initial state, performance index and flight control quantity is established, realizes the rapid generation of maneuvering trajectory and the precision control of maneuver curve, and the effectiveness of this method is verified by simulation.