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Mass Imbalance Compensation Control for Stabilized Platform Based on UKF Identification

机译:基于UKF识别的稳定平台的大规模不平衡补偿控制

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Due to the mass imbalance about the center of rotation, the stability of stabilized platform system degrades with carrier's disturbances. Various feed-forward control methods are provided by reaserchers to solve this problem, however these methods are not well applied because the eccentricity of stabilized platform could not be measured directly. The dynamics model of a typical 2-axis stabilized platform is given. The eccentricity vector is identified through Unscented Kalman Filter(UKF) algorithm. Imbalance torque is precisely observed so that the real-time nonlinear compensation for mass imbalance is achieved through a feed-forward loop. The simulation result indicates that the Root Mean Squared Error (RMSE) of parameters estimation is 0.024 after convergence. the LOS stabilization with carrier's 2.5Hz vibration is 0.04 rad/s, which improves 78% compared to conventional feed-back control.
机译:由于对旋转中心的质量不平衡,稳定平台系统的稳定性利用载体的扰动来降低。各种前馈控制方法是由重新分配来解决这个问题的前馈控制方法,但是这些方法不适用,因为稳定平台的偏心不能直接测量。给出了典型的2轴稳定平台的动力学模型。通过Unspented Kalman滤波器(UKF)算法来识别偏心载体。精确地观察不平衡扭矩,使得通过前馈回路实现了对质量不平衡的实时非线性补偿。仿真结果表明收敛后参数估计的根均方误差(RMSE)为0.024。与载体的2.5Hz振动的LOS稳定为0.04 rad / s,而与常规反馈控制相比,该速度为0.04 rad / s。

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