考虑主动远离禁飞区的飞行器再入轨迹快速规划OA

To address the reentry trajectory planning problem for hypersonic vehicles with spherical No-Fly Zone(NFZ)constraints,this paper proposes a Sequential Convex Programming(SCP)method based on dynamic objec-tive reconstruction and a hybrid step-size control strategy,enabling proactive NFZ separation assurance.First,a po-tential function is introduced to model the spherical NFZs as soft constraints,transforming the reentry trajectory plan-ning problem into a sequence of convex subproblems with coupled soft and hard constraints.Second,to mitigate nu-merical overflow issues caused by the potential function and reduce sensitivity to initial guesses,a two-phase"feasibility-optimality"dynamic decoupling framework is developed.The first phase focuses on computing a feasible solution to generate a high-quality initial trajectory for subsequent optimization,while the second phase dynamically re-constructs the optimization objective using the soft-constraint potential function to maximize the standoff distance from NFZs without significantly compromising primary performance objectives.Furthermore,a hybrid step-size control strat-egy is designed by integrating the trust-region method with the line-search algorithm,effectively exploiting descent in-formation from rejected steps and improving computational efficiency.Numerical simulations demonstrate that the pro-posed algorithm guarantees a sufficient safety margin from spherical NFZs.Compared with the conventional trust-region convex optimization method,the proposed method improves computational speed by a 95%,and reduces ter-minal altitude and velocity errors by factors of 19 and 6,respectively.Compared to the Gauss pseudospectral method,the proposed approach achieves a threefold increase in computational speed while maintaining comparable terminal altitude and velocity accuracy,highlighting its promising potential for practical applications.