高超声速伸缩式变形飞行器再入轨迹快速优化

Aiming at the reentry trajectory optimization problem for hypersonic deformable vehicle, a fast optimization method based on improved Gauss pseudospectral method (GPM) is studied. Firstly, a reentry trajectory optimization model is established for a hypersonic deformable vehicle with retractable wing, which extends the span deformation as a control variable. Secondly, the GPM is used to transcribe the trajectory optimization problem into a nonlinear programming (NLP) problem, and based on the sparsity of the NLP partial derivative, the objective function gradient and the constrained Jacobian matrix are calculated efficiently. Finally, the maximum lateral range, reentry reachable area, maximum terminal speed and minimum flight time of the deformed aircraft are optimized. The simulation results show that the derived gradient calculation method can effectively improve the optimization solution efficiency. The performance of the deformed aircraft is better than that of the fixed-shape vehicle, and the maximum lateral range, reach area coverage, maximum terminal speed and minimum flight time have all been significantly improved.