The research on reentry trajectory optimization method based on a differential evolution algorithm
Chao Ou, Zichen Tang, Yaosong Long, Hanshan Xiao, Zhigong Tang · Journal of Physics Conference Series · 2025
Abstract Vehicle reentry flight trajectory optimization is optimizing some performance index (such as range minimum or maximum) while satisfying a series of constraints to achieve the optimal flight performance of the vehicle. The optimization of reentry flight trajectory is faced with extreme flight constraints such as non-linearity aerodynamic parameters and high heat load, and the optimization solution has uncertainty, couple, and a high degree of nonlinearity. In this paper, based on the mathematical model of the reentry flight trajectory optimization problem, the model is transformed into a series of non-linearity programming problems by discretization processing. Differential Evolution (DE) is introduced to solve the optimization problem, and a general method model of the reentry flight trajectory optimization problem is established. At the same time, because the basic DE algorithm can only deal with unlimited-parameter optimization problems, the basic DE algorithm is improved by adding a constraint processing method, which solves the problem of multi-constraint vector function processing in trajectory optimization problem; Finally, the feasibility of the method is verified by modeling and simulating the reentry flight trajectory optimization problem in typical mission scenarios, and the optimal reentry flight trajectory satisfying the requirements is obtained. Simulation results show that this method has good robustness, easy implementation, and high optimization efficiency.