The control-configured optimization method for hypersonic vehicles using the improved simulated annealing algorithm

Based on the established model that both aerodynamic nonlinearity and aerodynamic coupling are the function of configuration parameters, a chosen hypersonic vehicle's shape will be optimized to search for optimal configuration parameters with the lowest nonlinearity and coupling of the all ballistic feature points. To improve simulated annealing algorithm's search capability in the whole feasible region, a well-chosen aggregation strategy containing a few locally best optimal elements is introduced. The optimization results of test functions indicate that the improved algorithm possesses a better convergence stability and speed. The specific vehicle's control-configured optimization results reveal that the improved simulated annealing algorithm is more effective and has a better search capability in the whole feasible region.