Integrated Morphing Strategy and Trajectory Optimization of a Morphing Waverider Based on an Improved Artificial Bee Colony Algorithm

Differing from the aircraft with unchangeable shape, the trajectory optimization of an morphing vehicle needs to calculate the morphing strategy at the same time in addition to considering the altitude, the velocity, the pitch angle and the angle of attack. In this paper, an optimization scheme based on improved Artificial Bee Colony (ABC) algorithm is proposed to solve the integrated optimization problem of morphing strategy and gliding trajectory. At first, the model of hypersonic morphing vehicle is established, including aerodynamic model and 3 degree-of-freedom dynamics model. Then, a coordinated optimization scheme based on ABC algorithm is established. Aiming at the weaknesses of slow convergence and poor accuracy of the ABC algorithm in solving this problem, an improved method based on weighted optimal guidance strategy and dynamic dimension reduction strategy is proposed. Finally, through the comparison with the original ABC algorithm, the effectiveness and superiority of the improved algorithm are verified in the simulation experiment. The result in this paper will provide a reference for further application of morphing technology in wide speed range hypersonic aircraft.