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Control of a large flexible space structure with moving-bank multiple model adaptive algorithms

机译:移动库多模型自适应算法控制大型柔性空间结构

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The development and performance of moving-bank multiple model adaptive control (MMAC) algorithms for quelling vibrations induced in the SPICE 2 space structure are presented. The structure consists of a large platform and a smaller platform connected by three legs in a tripod fashion. Deviations of the line-of-sight vector from the center of the large platform to the center of the smaller platform are used for linear quadratic Gaussian (LQG) controller performance evaluation. The parameter estimator implements the maximum entropy with an identity covariance (ME/I) algorithm, the moving-bank logic employs parameter position monitoring, and the controller uses the modified MMAC method. Whereas parameter variations of two percent caused instabilities in the single filter/controller design, the MMAC algorithm provides an excellent method to estimate a wide range of parameter variations and to quell oscillations in the structure.
机译:呈现了运动库多模型自适应控制(MMAC)算法的发展和性能,用于在Spice 2空间结构中引起的伸展振动。该结构包括一个大型平台和较小的平台,以三脚架时尚为三条腿连接。视线线向量从大型平台中心到较小平台中心的偏差用于线性二次高斯(LQG)控制器性能评估。参数估计器利用身份协方差(ME / I)算法实现最大熵,移动组逻辑采用参数位置监控,并且控制器使用修改的MMAC方法。虽然两个百分比的参数变化导致单滤波器/控制器设计中的不稳定性,但MMAC算法提供了一种估计各种参数变化和结构中的椭圆形的优异方法。

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