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Constant thrust glideslope guidance algorithm for rendezvous in multi-body realm

机译:多体境界中的应集合恒力推力滑坡引导算法

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A guidance algorithm for spacecraft approaching a target vehicle in a quasi-halo orbit in the real earth-moon system is presented. The algorithm is based on the numerical solution of the time-variant linearized relative dynamics of RTBP in inertial coordinates. The whole trajectory is divided into several segments. The multi-impulse glideslope idea, traditionally used in the near-earth rendezvous, is employed to obtain estimated velocity increment (delta-v) at the joint of two legs. The instantaneous delta-v, as a matter of fact, can not be implemented by any real engine because the thrust magnitude is always finite. Here, the obtained delta-v is translated into thrust duration in the context of a constant thrust magnitude, which is the most simple and robust type in real applications. Ignition and cutoff delays of the thruster are modeled. Current relative state is used to calculate the next delta-v and then flows to the following segment after thrusting in the delta-v direction for the transcribed time period. A thrusting arc is usually followed by a coast arc. The last segment is retuned by being further subdivided into another group of legs using updated control parameters, in order to counteract the strong nonlinearity in multi-body realm. The whole process ends after the last delta-v is dealt with. Simulation environment is established by using DE405 ephemeris, taking into account gravities of the earth, moon, sun, and all other planets. Monte Carlo analysis is conducted by considering the navigation error and the thrust direction error. Results show that the proposed guidance algorithm can effectively maintain control over the flight time with rather satisfactory final position and velocity accuracy.
机译:介绍了在真实地球系统中的准光环轨道中接近目标车辆的航天器的指导算法。该算法基于惯性坐标中RTBP的时变线性化相对动态的数值解。整个轨迹分为几个部分。传统上用于近地区的多脉冲滑坡的想法用于在两条腿的关节中获得估计的速度增量(Delta-V)。事实上,瞬时的Δ-v不能由任何真实发动机实现,因为推力幅度始终有限。这里,所获得的Δ-V在恒定推力幅度的上下文中被翻译成延迟持续时间,这是真实应用中最简单且坚固的类型。推进器的点火和截止延迟进行建模。电流相对状态用于计算下一个Δ-V,然后在转换时间段的Δ-V方向上推动后流到以下段。推力弧通常是海岸弧。使用更新的控制参数进一步细分为另一组腿进行重新调整最后一个段,以抵消多体领域的强非线性。整个过程在最后的Δ-v处理后结束。通过使用DE405星历来建立仿真环境,考虑到地球,月亮,太阳和所有其他行星的重心。通过考虑导航误差和推力方向误差来进行蒙特卡罗分析。结果表明,该建议的引导算法可以通过相当令人满意的最终位置和速度精度有效地保持对飞行时间的控制。

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