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首页> 外文期刊>Journal of Computational and Applied Mathematics >Very low-thrust trajectory optimization using a direct SQP method
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Very low-thrust trajectory optimization using a direct SQP method

机译:使用直接SQP方法的极低推力轨迹优化

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摘要

The direct transcription or collocation method has demonstrated notable success in the solution of trajectory optimization and optimal control problems. This approach combines a sparse nonlinear programming algorithm with a discretization of the trajectory dynamics. A challenging class of optimization problems occurs when the spacecraft trajectories are characterized by thrust levels that are very low relative to the vehicle weight. Low-thrust trajectories are demanding because realistic forces due to oblateness, aerodynamic drag, and third-body perturbions often dominate the thrust. Furthermore because the thrust is so low, significant changes to the orbits require very log duration trajectories. When a collocation method is applied to a problem of this type, the resulting nonlinear program is very large because the trajectories are long, and very nonlinear because of the perturbing forces. This paper describes the application of the transcription method to the solution of very low-thrust orbit transfers. The vehicle dynamics are defined using a modified set of equinoctial coordinates, and the trajectory modeling is described using these dynamics. A solution is presented for a representative transfer using a spacecraft with a thrust acceleration of approximately 1.25 * 10~(-7) km/s~2. This transfer requires over 578 revolutions, and leads to a sparse optimization problem with 416 123 variables and 249 674 constraints. Issues related to the numerical conditioning and problem formulation are discussed.
机译:直接转录或并置方法在解决轨迹优化和最优控制问题方面已显示出显著成功。这种方法结合了稀疏的非线性规划算法和轨迹动力学的离散化。当航天器的轨迹以相对于飞行器重量而言非常低的推力水平为特征时,就会出现一类具有挑战性的优化问题。低推力的轨迹要求很高,因为扁圆度,气动阻力和第三者扰动引起的逼真的力通常会主导推力。此外,由于推力是如此之低,因此轨道的重大变化需要非常长的对数持续时间轨迹。当将搭配方法应用于此类问题时,由于轨迹较长,因此生成的非线性程序非常大,并且由于扰动力而导致非线性程序非常非线性。本文介绍了转录方法在超低推力轨道转移解决方案中的应用。使用一组改进的等坐标定义车辆动力学,并使用这些动力学描述轨迹建模。提出了一种使用航天器进行代表性传输的解决方案,其推力加速度约为1.25 * 10〜(-7)km / s〜2。这种转移需要超过578转,并导致稀疏的优化问题,其中包含416123个变量和249674个约束。讨论了与数值条件和问题公式化有关的问题。

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