Optimal Control Homing of Rocket First-Stage Booster Recovery Based on Improved Genetic Algorithm with SQP

In this paper, the parafoil-rocket first stage booster system is used as the research object. Aiming at the problem of accurate fall area recovery in the first-stage booster system, a threat avoidance method of parafoil-rocket system combining genetic algorithm (GA) and sequential quadratic programming (SQP) is designed by using optimal control homing method. This method takes advantage of GA’s strong robustness and global optimization as well as SQP’s fast convergence rate and high efficiency to solve the problem of optimal control. The result of GA’s global optimization is taken as the initial value of SQP algorithm, then the local optimal solution is further obtained to solve the problem of obstacle avoidance in the complex terrain of the target landing area. The simulation results from Matlab/Simulink show that the method adopted in this paper meets the requirements of fall zone control, and compared with the path planned by the traditional GA, The path is smoother and less detour, the deviation of landing point and the error of headwind are smaller. This method has the feasibility of implementation.