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首页> 外文期刊>Journal of guidance, control, and dynamics >Neural Network Based Modified State Observer for Orbit Uncertainty Estimation
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Neural Network Based Modified State Observer for Orbit Uncertainty Estimation

机译：基于神经网络的状态不确定度修正状态观测器

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摘要

A novel technique for estimating uncertainties caused by gravitational perturbations is presented. The approach, called the modified state observer, allows for the estimation of uncertainties in nonlinear dynamics and, in addition, providing estimates of the system states. The observer structure contains neural networks whose outputs are the uncertainties in the system. A useful and important application of this observer is the problem of determining uncertain gravitational perturbations that a satellite may experience when orbiting a body. With future space missions involving other bodies, such as asteroids that produce gravitational perturbations which are highly uncertain and are subjected to unknown physical influences, the modified state observer can be used not only to estimate the states of the satellites, but it can also be used to estimate the uncertainties that could be analyzed further with understanding the physical phenomena. To demonstrate the utility of the modified state observer for this class of problem the technique is applied for two cases: estimating the uncertainty caused by the J_2 perturbation for an Earth orbiter and estimating the uncertainty in an asteroid's gravitational field. Simulations are presented, which indicate that the observer can accurately estimate both the periodic nature of these perturbations, as well as the magnitudes.
机译：提出了一种新的技术来估计由重力扰动引起的不确定性。这种方法称为修改后的状态观察器，它可以估计非线性动力学中的不确定性，此外还可以提供系统状态的估计。观察者结构包含神经网络，其输出是系统中的不确定性。该观察者的有用和重要的应用是确定卫星在绕天体运行时可能遇到的不确定的引力扰动的问题。随着未来涉及其他物体的太空任务，例如产生不确定性且受到未知物理影响的引力扰动的小行星，经过修改的状态观测器不仅可以用于估计卫星的状态，还可以用于估计可以通过了解物理现象进一步分析的不确定性。为了证明修改后的状态观测器对此类问题的实用性，将该技术应用于两种情况：估算由地球轨道器的J_2扰动引起的不确定性，以及估算小行星引力场中的不确定性。进行了仿真，表明观察者可以准确估计这些扰动的周期性以及幅度。

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  • 来源
    《Journal of guidance, control, and dynamics》 |2013年第4期|1194-1209|共16页
  • 作者

    Nathan Harl; Karthikeyan Rajagopal; S. N. Balakrishnan;

  • 作者单位

    710 University Drive, 11560 Forest Lakes Dr IST-Rolla, Rolla, Missouri 65401;

    Department of Mechanical and Aerospace Engineering, Toomey Hall, 400 W 13th St.IST-Rolla, Rolla, Missouri 65401;

    710 University Drive, 11560 Forest Lakes Dr IST-Rolla, Rolla, Missouri 65401;

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