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Direct Optimization of Low-Thrust Transfers Using Averaging Techniques Based on Fourier Series Expansion

机译:基于傅里叶级数展开的平均技术直接优化低推力传输

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Low-thrust transfers in the central gravitational field involve a large number of orbital revolutions, which poses a real challenge to trajectory optimization. This article uses an orbital averaging technique based on Fourier series Expansion to describe the trajectory dynamics: the low-thrust profile is transformed in Fourier space, and secular dynamics equations are represented as functions of these thrust Fourier coefficients. The Chebyshev pseudo spectral and the Sequence Quadratic Planning method are used to convert the optimal low-thrust transfer problem to a parameter optimization one and obtain the optimal control solutions. Maximum inclination transfer problem for the low-thrust vehicle in arbitrary elliptic Earth orbits is presented, and it shows that the direct method using averaging techniques based on Fourier series Expansion can determine the low-thrust optimal control solutions accurately and reduce computational requirements significantly.
机译:中心引力场中的低推力传递涉及大量的轨道公转,这对轨迹优化提出了真正的挑战。本文使用基于傅立叶级数展开的轨道平均技术来描述轨迹动力学:低推力剖面在傅立叶空间中变换,并且世俗动力学方程表示为这些推力傅立叶系数的函数。利用Chebyshev伪谱和序列二次规划方法将最优的低推力传递问题转换为参数最优化问题,并获得最优的控制解。提出了低推力飞行器在任意椭圆形地球轨道上的最大倾角传递问题,表明基于傅里叶级数展开的平均技术的直接方法可以准确地确定低推力最优控制解,并显着降低了计算量。

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