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A Novel Flow Rate Estimation Method using Extended Kalman Filter and Sensor Dynamics Compensation with Automatic Casting Pouring Process

机译:一种新的流量估计方法,采用延长卡尔曼滤波器和传感器动力学补偿自动铸造浇注过程

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We describe here a method for estimating the pouring flow rate for tilting-ladle-type automatic pouring systems used in casting industries. To precisely pour molten metal into the mold, controlling the flow rate of liquid flowing out of the ladle is mandatory. However, it is difficult to directly measure the pouring flow rate by using a conventional flow meter, because the flow meter is damaged by the molten metal. Therefore, in this study, we used a soft sensing technique as part of the pouring flow rate estimation system. For estimation of the flow rate, the weight of liquid in the ladle and the tilting angle of the ladle are measured by a load cell and an encoder, respectively. Then, the flow rate is estimated by using an extended Kalman filter and sensor dynamics of the load cell, since in this study, the flow rate model was built as a nonlinear model. The advantage of the proposed system is that the flow rate can be precisely estimated by the load cell and the encoder. The system is easy to construct, and the load cell is not damaged easily, because it does not come in direct contact with the molten metal. The effectiveness of the proposed flow rate estimation method is demonstrated through experiments.
机译:我们在此描述了一种用于估计用于铸造行业的倾斜钢包式自动浇注系统的浇注流速的方法。为了将熔融金属精确地倒入模具中,控制流出钢包的液体的流速是强制性的。然而,难以使用常规流量计直接测量浇注流速,因为流量计被熔融金属损坏。因此,在本研究中,我们使用软感测技术作为浇注流量估计系统的一部分。为了估计流速,分别通过称重传感器和编码器测量钢包中的液体的重量和钢包的倾斜角度。然后,通过使用负载电池的扩展卡尔曼滤波器和传感器动力学来估计流速,因为在本研究中,流速模型被构建为非线性模型。所提出的系统的优点在于,可以通过称重传感器和编码器精确地估计流量。系统易于构造,并且负载电池不会容易损坏,因为它不与熔融金属直接接触。通过实验证明了所提出的流速估计方法的有效性。

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