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Trajectory Optimization of Launch Vehicles Using Steepest Descent Method – A Novel Approach

机译:最陡下降法的运载火箭弹道优化-一种新方法

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Trajectory optimization o f a generic launch vehicle is considered in this paper. The direct application of a nonlinear programming method is used in recent literature, which transforms the original problem into a nonlinear optimization problem.To study the rocket motion under the influence of gravitational field, 2-D simulator is developed. The rocket motion is analyzed for a gravity turn trajectory. The objective is to ensure desired terminal conditions as well as minimum control effort in the low dynamic pressure region. Design of optimal trajectory for a single stage rocket is a two point boundary problem. Trajectory is designed for a single stage liquid rocket.Trajectory is computed for a given initial and final condition using equations of motion of rocket in 2-D plane. Hamiltonian is formulated for the given constraints. The non-linear equations are solved using steepest descent method.It is assumed that the launch vehicle is not experiencing any perturbations. Results are compared for Runge-kutta and Euler.s integration methods,which clearly brings out the potential advantages of the proposed approach
机译:本文考虑了通用运载火箭的轨迹优化。近年来,非线性规划方法的直接应用将原始问题转化为非线性优化问题。为了研究重力场影响下的火箭运动,研制了二维模拟器。分析火箭运动的重力转弯轨迹。目的是确保在低动态压力区域中所需的最终条件以及最小的控制工作量。单级火箭的最优轨迹设计是一个两点边界问题。轨道是为单级液体火箭设计的,它使用二维平面中火箭的运动方程来计算给定初始条件和最终条件的轨道。哈密​​顿量是针对给定约束条件制定的。使用最速下降法求解非线性方程,假设运载火箭没有任何扰动。比较了Runge-kutta和Euler.s集成方法的结果,清楚地表明了所提出方法的潜在优势

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