Hybrid intelligent control for optimal operation of shaft furnace roasting process |
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Authors: | Tianyou Chai Jinliang Ding Fenghua Wu |
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Affiliation: | a Key Laboratory of Integrated Automation for Process Industry (Northeastern University), Ministry of Education, Shenyang 110004, PR China b Research Center of Automation, Northeastern University, Shenyang 110004, PR China |
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Abstract: | A hybrid intelligent control method is proposed to control the technical indices into their desired range. This is realized by on-line adjusting the set-points of control loops for optimal operation of the shaft furnace in response to changes in operating points. The controller consists of six modules, namely a pre-setting model for control loop set-points, a predictive model for technical index, a feedforward compensator using predictive model, a feedback compensator, a fault working situation diagnosis and a fault tolerant control model. The proposed approach has been successfully applied to the roasting process of shaft furnace in a mineral processing plant in China and its efficiency has been verified by the practical application results. |
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Keywords: | Shaft furnace Roasting process Technical index Hybrid intelligent control Fault working situation |
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