An adaptive algorithm for LD converter steel refining control is presented. Avoiding the traditionally used balance approach, here a real-time process parameters estimation and control is applied. A Recursive Least Sq...
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An adaptive algorithm for LD converter steel refining control is presented. Avoiding the traditionally used balance approach, here a real-time process parameters estimation and control is applied. A Recursive Least Squares method is used and a minimum variance control strategy is realized. The original idea is that the converter steel making process| is considered as a continuous process which is sampled and one heat time is considered as one sample time. So, the process model parameters are adjusted after each heat and the algorithm adapts very fast to the technological conditions chanson. A distributed PS/XT computer two-leves control system is realized. Successful industrial results are obtained.
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