Regulation of Magnetically Actuated Satellites using Model Predictive Control with Disturbance Modelling
Regulation of Magnetically Actuated Satellites using Model Predictive Control with Disturbance Modelling
复制标题
使用模型预测控制和扰动建模来调节磁驱动卫星
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
Wen‐Hua Chen
中科院分区：
文献类型：
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作者：
M. Wood;Wen‐Hua Chen
利用模型预测控制方法研究了低轨卫星的磁姿态调节问题。本文认为，扩展目前的文献在这一领域结合一个标准的预测控制器与一个合适的干扰模型。对于低地球轨道卫星的干扰，由于外部环境是非常显着的，这些转矩的控制律内的考虑是必要的，以获得最佳的控制器性能。为了获得外部干扰的估计，使用不同复杂度的状态估计器。该估计器最初假设作用在卫星上的扰动随时间保持恒定，但随后改进该假设以假设扰动的谐波变化。仿真结果表明，包括一个前馈元件的控制提供了显着的性能优势。有趣的是，增加的干扰模型的复杂性似乎提供的性能改善不大，一个简单的恒定的干扰模型提供了一个合适的解决方案，同时保持简单的状态估计器的问题。
The problem of magnetic attitude regulation of low Earth orbiting satellites is addressed using model predictive control. This paper considers extending the current literature within this area by combining a standard predictive controller with a suitable disturbance model. For low Earth orbiting satellites the disturbances due to the external environment are very significant and consideration of these torques within the control law is imperative to obtain the best possible controller performance. In order to obtain an estimate of the external disturbance, a state estimator of varying complexity is used. This estimator initially assumes that the disturbances acting on the satellite remain constant with time, but this assumption is then improved to assume harmonic variation of the disturbance. Simulations show that inclusion of a feed-forward element to the control offers notable performance benefits. Interestingly, increasing the complexity of the disturbance model seems to offer little improvement in performance and a simple constant disturbance model provides a suitable solution to the problem while maintaining simplicity of the state estimator.