Trajectory optimization of interceptor missile based on hybrid genetic algorithm

Sequence quadratic programming and hybrid genetic algorithm are used to optimize the interceptor trajectory. The plane motion model of interceptor projectile considering curvature and rotation of the earth is established. According to the requirements of subsistent trajectory restraint, the trajectory problem was established with maximum terminal velocity, minimum miss distance and minimum whole heat quantity. The results show that the hybrid genetic algorithm is better than the genetic algorithm. The hybrid genetic algorithm is used to optimize the trajectory of aircraft interceptor projectiles. There is no dependence on initial value of traditional optimization methods, and the optimal value can be searched globally. By using hybrid genetic algorithm and genetic algorithm, the normal overload of interceptor missile channel is much more stable, and it is easy to maneuver interceptor missile control.