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Guaranteed Estimation when Integrating Sensor Information into Robot System

机译:将传感器信息集成到机器人系统中的有保证的估计

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A robotic system is considered, in particular, a spacecraft for which the issue of combining information from sensors of the navigation systems arises. An inertial navigation system and a star sensor are taken as the main navigation systems. The algorithm of guaranteed evaluation when combining the information of the inertial navigation system and the star sensor is proposed. When solving the problem of evaluation with the help of the minimal filter, the construction of the information set, which is guaranteed to contain the true state of the system, is a computationally difficult task for large dimensional systems. Therefore, instead of the exact construction of information sets, their approximate value is used, that is approximation in the form of convex polyhedron, received by approximation from above of "exact" but set implicitly by the system of linear equations and inequalities of the information set. The result of guaranteed evaluation is compared with the result of evaluation by the Kalman filter.
机译:背景技术尤其是考虑了机器人系统,即航天器,对于该航天器,出现了将来自导航系统的传感器的信息进行组合的问题。惯性导航系统和星形传感器被作为主要的导航系统。提出了一种结合惯性导航系统信息和恒星传感器信息的保证评价算法。当借助最小过滤器解决评估问题时,确保包含系统真实状态的信息集的构造对于大型系统而言是计算上的难题。因此,不是使用精确的构造信息集,而是使用它们的近似值,即近似多面体的形式,从“精确”的上方通过近似接收,但由线性方程组和信息的不等式隐式地设置。放。将保证评估的结果与卡尔曼滤波器的评估结果进行比较。

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