Abstract
In this paper, by analyzing the movement of blast furnace charge in the void area after the chute, the system’s state equations and measurement equations are established, and the extended Kalman filter is used to predict and track the data. Extended Kalman filter is a method that can expand nonlinear equations into linear equations through Taylor expansion to make better observations. Then three-dimensional equations of state are established. The position, velocity, and acceleration of the charge are used to fit. Finally, the blast furnace is verified through experiments state of charge equation and measurement equation of charge and validity of three-dimensional extended Kalman filter.
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Duan, J., Zhang, W. (2019). The Development of a Charge Movement Model for Blast Furnace Based on Extended Kalman Filter. In: Jia, Y., Du, J., Zhang, W. (eds) Proceedings of 2018 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering, vol 528. Springer, Singapore. https://doi.org/10.1007/978-981-13-2288-4_63
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DOI: https://doi.org/10.1007/978-981-13-2288-4_63
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Online ISBN: 978-981-13-2288-4
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