Jin Liang

Xi'an Jiaotong University, Ch’ang-an, Shaanxi, China

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Publications (2)0 Total impact

  • Junyi Cao · Jin Liang · Buinggang Cao
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    ABSTRACT: A novel fuzzy fractional order proportional integral derivative (FFPID) controller based on fractional calculus is presented. Fractional calculus performs more effectively for the controller design than integer order calculus with arbitrary integral and derivative orders of real number. Combined the fractional proportional integral derivative controller with fuzzy control logic, the unit of fractional proportional integral derivative replaces the unit of proportional integral derivative in conventional fuzzy PID controllers to establish the structure of FFPID. The operational process of FFPID controllers is realized with the method of Tustin discretization and fuzzy logic reasoning. To demonstrate better control characteristics of the FFPID controllers, a numerical simulation with a detailed comparative analysis under individual conditions is carried out. The results verify the fine robust performance for the nonlinearity and parameter uncertainty.
    No preview · Article · Nov 2005 · Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University
  • Jun-Yi Cao · Jin Liang · Bing-Gang Cao
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    ABSTRACT: The intelligent optimization method for designing fractional order PI<sup> λ</sup>D<sup> δ</sup> controller (FOPID) based on genetic algorithms is presented in this paper. Fractional calculus can provide new and good performance extension for FOPID because of the arbitrary order of fractional calculus. However, the difficulties of designing FOPID controllers increase. FOPID controllers' parameters are composed of proportional constant, integral constant, derivative constant, derivative order and integral order, whose design is more complex than that of conventional integer order PID controller. The optimization design process based on genetic algorithms is analyzed in detail in this paper, in which the optimization performance target is the combination of ITAE and control input, the numerical simulation of FOPID controllers uses the method of Tustin operator and continuous fraction expansion. Simulation results show the proposed method is highly effective.
    No preview · Conference Paper · Sep 2005