Abstract
This paper focused on ordinary fuzzy controller for operation of control rule by approximate processing for a particular discrete points, resulting in steady-state performance results information loss; made binary optimized fuzzy control algorithm of bilinear interpolation. On the basis of basic fuzzy controller, it was to avoid error due to an approximate calculation of the loss of information, used by dual bilinear interpolation algorithm to improve continuity of control rules, so as to achieve the goal of improving stability precision.
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Acknowledgments
Project supported by CNSF (Grant number: 60873144), Fund for outstanding young talent in Anhui Province(2010SQRL052,2011SQRL198),Science fund of The Journal of Huainan vocational and technical college(HKJ09-5).
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Huang, Kf., Liu, Zg., Yang, J., Xu, F., Gao, K., Kang, Y. (2013). Application of Dual Bilinear Interpolation Fuzzy Algorithm in Fan Speed Control. In: Yin, Z., Pan, L., Fang, X. (eds) Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013. Advances in Intelligent Systems and Computing, vol 212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37502-6_112
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DOI: https://doi.org/10.1007/978-3-642-37502-6_112
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Online ISBN: 978-3-642-37502-6
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