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A new control allocation method that accounts for effector dynamics

机译:考虑效应器动态的新控制分配方法

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Given a time history of desired moments, the control allocation problem is to solve for the effector inputs so that some norm of the error between the achieved and desired moments is minimized. Existing methods solve for the actuator deflections, while accounting for magnitude and rate limitations of the effectors. In this paper, we propose the dynamic control allocation (DCA) Method, that also accounts for effector dynamics, in addition to magnitude and rate limits. We show through numerical experiments that the DCA method allocates the desired moments according to effector bandwidths - that is the slow effectors are allocated the lower frequencies in the desired moments. The numerical simulations also show that the DCA outperforms the existing simplex algorithm based LP method, that does not account for actuator dynamics.
机译:给定所需力矩的时间历史,控制分配问题是解决效应器输入的问题,以使所获得力矩与所需力矩之间的一些误差范数最小。现有方法解决了致动器的挠曲,同时考虑了效应器的大小和速率限制。在本文中,我们提出了一种动态控制分配(DCA)方法,该方法除了幅值和速率限制外,还考虑了效应器动力学。我们通过数值实验表明,DCA方法根据效应器带宽分配了期望的力矩-也就是说,慢速的效应器在期望的力矩中分配了较低的频率。数值模拟还表明,DCA优于现有的基于单纯形算法的LP方法,该方法不考虑执行器动力学。

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