Abstract
An electrical heating furnace temperature control system is characterized by large inertia, pure time-delay and parameters time-varying, which needs a long time to control with conventional control methods. It is hard to meet the technical requirements. An improved Smith predictive fuzzy-PID composite control method is therefore presented. A mathematic model of the electrical heating furnace temperature control system is established and the structure of the improved Smith predictive fuzzy PID controller and the method of generating fuzzy control rules are introduced. The simulation result shows that the control system may reduce the overshoot, shorten the time to stabilize, improve control accuracy, and work well for the electrical heating furnace system.
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Duan, Yh. (2010). The Design of Predictive Fuzzy-PID Controller in Temperature Control System of Electrical Heating Furnace. In: Li, K., Fei, M., Jia, L., Irwin, G.W. (eds) Life System Modeling and Intelligent Computing. ICSEE LSMS 2010 2010. Lecture Notes in Computer Science, vol 6329. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15597-0_29
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DOI: https://doi.org/10.1007/978-3-642-15597-0_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15596-3
Online ISBN: 978-3-642-15597-0
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