Optimization and Design of Compound Fuzzy Control for Hydraulic Bending Roll System

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  • Wang Yan
    School of Control Science and Engineering, University of Jinan
  • Hu Changbin
    School of Control Science and Engineering, University of Jinan : Graduate Student
  • 金江 春植
    九州大学大学院システム情報科学研究院電気電子システム工学部門
  • 楊 子江
    九州大学大学院システム情報科学研究院電気電子システム工学部門
  • 和田 清
    九州大学大学院システム情報科学研究院電気電子システム工学部門

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The flatness control system is a long time-delay, on-linear, coupled multivariate system with variable parameters. Based on the system features, genetic algorithms which possesses parallel search ability synchronously optimize the fuzzy controller parameters based on combinative coding of membership functions, quantization factors and scale factor. This optimized operation can effectively avoid the difficulties of manual adjustment. Due to its membership functions' symmetrical feature which makes search space is in half. Then combine the optimized fuzzy controller with PID controller to achieve the fuzzy PID parallel control. At the same time it also effectively control the output pressure that comes from hydraulic bending roll-control system. A simulation test shows that the controller not only has high control precision but also has good stability as same as PID.

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