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Temperature Optimal Control Model Design of the Metal Material Smelting
Abstract:
The accurate control methods for temperature of metallic materials smelting is studied. For the defect of temperature changes with quite high frequency caused by complicated process during metallic materials smelting process, a temperature optimal control method of the metallic material smelting based on 2T-S fuzzy model is proposed. Temperature state signal is collected by the sensor during the smelting of metallic materials, then filtered and regarded as input data for a 2T-S fuzzy model. 2T-S fuzzy model is established to achieve temperature optimal control during metallic material smelting. The experimental results show that the proposed algorithm can effectively improve the accuracy of the temperature control of metallic materials smelting process, and achieved satisfactory results.
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1699-1702
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December 2014
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© 2015 Trans Tech Publications Ltd. All Rights Reserved
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