Abstract
This paper considers approaches of solving actual task of reducing dynamic load of lines in the blooming mill during rolling, which occurs due to a number of uncontrollable factors. An approach that combines modified Kaczmarz algorithm and robust algorithm of speed gradient is employed to estimate past and current values of the state, provide dynamic compensation of uncertainties and changes of control object parameters during metal compression on blooming, as well as to form adaptive control law for solving the problem of reducing the dynamic load in working rolls of blooming mill. Analysis of the results of simulation of proposed methods has shown high efficiency of transient processes with provision of opportunity to compensate dynamic changes in parameters of the research object during exploitation.
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Kharlamenko, V., Ruban, S., Korobiichuk, I., Petruk, O. (2017). Adaptive Control of Dynamic Load in Blooming Mill with Online Estimation of Process Parameters Based on the Modified Kaczmarz Algorithm. In: Szewczyk, R., Kaliczyńska, M. (eds) Recent Advances in Systems, Control and Information Technology. SCIT 2016. Advances in Intelligent Systems and Computing, vol 543. Springer, Cham. https://doi.org/10.1007/978-3-319-48923-0_28
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DOI: https://doi.org/10.1007/978-3-319-48923-0_28
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