A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 3 Issue 3
Jul.  2016

IEEE/CAA Journal of Automatica Sinica

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Jiacai Huang, YangQuan Chen, Haibin Li and Xinxin Shi, "Fractional Order Modeling of Human Operator Behavior with Second Order Controlled Plant and Experiment Research," IEEE/CAA J. of Autom. Sinica, vol. 3, no. 3, pp. 271-280, 2016.
Citation: Jiacai Huang, YangQuan Chen, Haibin Li and Xinxin Shi, "Fractional Order Modeling of Human Operator Behavior with Second Order Controlled Plant and Experiment Research," IEEE/CAA J. of Autom. Sinica, vol. 3, no. 3, pp. 271-280, 2016.

Fractional Order Modeling of Human Operator Behavior with Second Order Controlled Plant and Experiment Research

Funds:

This work was supported by National Natural Science Foundation of China (61104085, 51505213), Natural Science Foundation of Jiangsu Province (BK20151463, BK20130744), Innovation Foundation of NJIT (CKJA201409, CKJB201209) sponsored by Jiangsu Qing Lan Project, and the Jiangsu Government Scholarship for Overseas Studies (JS-2012-051).

  • Modeling human operator's dynamics plays a very important role in the manual closed-loop control system, and it is an active research area for several decades. Based on the characteristics of human brain and behavior, a new kind of fractional order mathematical model for human operator in single-input single-output (SISO) systems is proposed. Compared with the traditional models based on the commonly used quasilinear transfer function method or the optimal control theory method, the proposed fractional order model has simpler structure with only few parameters, and each parameter has explicit physical meanings. The actual data and experiment results with the second-order controlled plant illustrate the effectiveness of the proposed method.

     

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