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Model predictive control for line pacing in steel processing
Author(s) -
Konaka Eiji,
Suzuki Tatsuya,
Asano Kazuya,
Iijima Yoshitsugu
Publication year - 2012
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.21817
Subject(s) - petri net , model predictive control , line (geometry) , computer science , task (project management) , scheme (mathematics) , control engineering , control (management) , control theory (sociology) , engineering , algorithm , artificial intelligence , mathematics , mathematical analysis , geometry , systems engineering
Line pacing control in steel processing lines is known to be a difficult task for operators.?They usually take a conservative control policy in order to avoid shutdown, and the processing capacity of the line has not been fully utilized yet. This paper presents a new modeling and control technique for line pacing based on a hybrid petri net (HPN) and mixed logical dynamical system (MLDS) expressions. The proposed modeling method can harmoniously integrate continuous and discrete aspects of the system. Moreover, the proposed method can provide a suitable formulation for numerical optimization. Based on this hybrid system modeling, the closed‐loop control can be realized by the receding horizon scheme. Numerical examples demonstrate that the processing capacity can be fully utilized by the proposed method. © 2012 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.