Abstract
The temperature control system of heating furnace is a complex system. As in various practical complex control systems of heating furnace thermal process parameters, the traditional fuzzy controller can hardly ensure that the system controlling effect kept in ideal state all the time. Aimed at existent problem, the paper proposed a parameter optimization method based on fuzzy control adjustment genetic algorithm. With the genetic algorithm, the self-correction and self-adjustment of the fuzzy membership function curve, the parameters p, q of the fuzzy control analytic expression U = f(E,C,p,q) and the output club-shaped membership function position can be carried out, thereby the fuzzy control which coincides with experience is realized. The controlling precision and stability are greatly improved. Not only the system reaches controlling quality but also has better controlling quality.
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© 2009 Springer-Verlag Berlin Heidelberg
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Li, Xh., Yang, Hy., Ren, Yj. (2009). Application of Fuzzy Genetic Algorithm in Control for Heating Furnace. In: Cao, B., Li, TF., Zhang, CY. (eds) Fuzzy Information and Engineering Volume 2. Advances in Intelligent and Soft Computing, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03664-4_122
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DOI: https://doi.org/10.1007/978-3-642-03664-4_122
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03663-7
Online ISBN: 978-3-642-03664-4
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