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Receding Horizon Optimal controller for reference trajectory tracking in Mars entry guidance

机译:在火星进入制导中用于参考轨迹跟踪的Reeding Horizo​​n Optimal控制器

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摘要

In the process of the high-speed vehicle sentering a rarefied atmosphere with highly uncertainties as the Mars atmosphere, the trajectory deviation caused by entry guidance can be the major part of the total landing errors. To reduce the impact of model errors on guidance performance, a guidance law based on receding horizon control is developed for reference trajectory tracking. At each guidance cycle, the prescribed trajectory as well as the commanded bank angle in finite horizon is obtained by an indirect optimization method based on Pontryagin's minimum principle. Then a set of algebraic and ordinary differential equations with their boundary conditions, called boundary value problem (BVP), are obtained. In this paper, the BVP is transformed into a system of nonlinear algebraic equations by using the differential transformation method to reduce the computational burden caused by differential operation. The system of algebraic equations is solved by a trust region Newton's method. Furthermore, the closed-loop guidance law is tested by the simulation of 500 entry cases with modeling errors and compared to the feedback linearization based guidance law. Numerical simulations show that the proposed guidance scheme is feasible and effective in tracking the nominal trajectory, thus has the potential to be applied to online guidance.
机译:在高速车辆探测稀有大气(如火星大气)的过程中,由进入制导引起的轨迹偏差可能是总着陆误差的主要部分。为了减少模型误差对制导性能的影响,开发了基于后退水平控制的制导律用于参考轨迹跟踪。在每个制导周期内,通过基于庞特里亚金极小原理的间接优化方法,获得了预定的轨迹以及在有限范围内的命令倾斜角。然后得到一组带有边界条件的代数和常微分方程,称为边界值问题(BVP)。本文采用微分变换的方法,将BVP变换为非线性代数方程组,以减少微分运算的运算量。代数方程组通过一个信赖域牛顿法求解。此外,通过模拟具有模型错误的500个进入案例对闭环制导律进行了测试,并将其与基于反馈线性化的制导律进行了比较。数值仿真结果表明,所提出的制导方案在跟踪标称轨迹方面是可行和有效的,因此有可能应用于在线制导。

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