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Accelerometer-based tilt estimation of a rigid body with only rotational degrees of freedom

机译:仅基于旋转自由度的基于加速度计的刚体倾斜估计

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An estimation algorithm is developed for determining pitch and roll angles (tilt) of a rigid body fixed at a pivot point using multiple accelerometers. The estimate is independent of the rigid body dynamics; the method is applicable both in static conditions and for any dynamic motion of the body. No dynamic model is required for the estimator; only the mounting positions of the sensors need to be known. The proposed estimator is the optimal linear estimate in a least-squares sense if knowledge of the system dynamics is not used. The estimate may be used as a basis for further filtering and fusion techniques, such as sensor fusion with rate gyro data. The estimation algorithm is applied to the problem of state estimation for the Balancing Cube, a rigid structure that can actively balance on its corners. Experimental results are provided.
机译:开发了一种估计算法,用于使用多个加速度计确定固定在枢轴点上的刚体的俯仰和横滚角(倾斜)。该估计与刚体动力学无关;该方法既适用于静态条件,也适用于身体的任何动态运动。估计器不需要动态模型;只需要知道传感器的安装位置即可。如果不使用系统动力学知识,则所提出的估计器是在最小二乘意义上的最佳线性估计。该估计可用作进一步滤波和融合技术的基础,例如传感器与速率陀螺仪数据的融合。估计算法应用于平衡立方体的状态估计问题,该立方体是一个可以主动平衡其拐角的刚性结构。提供了实验结果。

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