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Vibration Control of Flexible Link Manipulator Using SDRE Controller and Kalman Filtering

机译:基于SDRE控制器和卡尔曼滤波的柔性连杆机械臂振动控制

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摘要

The problem of estimating the flexural states while applying State-Dependent Riccati Equation (SDRE) technique to flexible link manipulator (FLM) is the focus of this paper. The proposed method investigates the effect of employing Kalman Filter as state estimator in the case of the deterministically modelled FLM. The dynamic model of the FLM is derived through combined Euler Lagrangian-Assumed modes approach based on two significant modes, resulting in a nonlinear model with six states. The information of states being crucial to the imple mentation of SDRE controller, the state estimator based on Kalman filter designed in this paper, minimizes the effect of noises that may corrupt the state measurements. Simulation results reveal the effectiveness of Kalman filter based SDRE controller for accurate positioning and vibration suppression of the FLM.
机译:将状态依赖的里卡蒂方程(SDRE)技术应用于柔性连杆操纵器(FLM)时,估计弯曲状态的问题是本文的重点。该方法研究了在确定性建模的FLM情况下采用卡尔曼滤波器作为状态估计器的效果。 FLM的动力学模型是通过基于两个有效模式的组合Euler Lagrangian-假定模式方法得出的,从而得到具有六个状态的非线性模型。状态信息对于实现SDRE控制器至关重要,本文设计的基于Kalman滤波器的状态估计器可最大程度地降低可能破坏状态测量的噪声影响。仿真结果揭示了基于卡尔曼滤波器的SDRE控制器对于FLM的精确定位和振动抑制的有效性。

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