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

Jiacai Huang; YangQuan Chen; Haibin Li; Xinxin Shi

Volume 3 Issue 3

Jul. 2016

IEEE/CAA Journal of Automatica Sinica

JCR Impact Factor: 15.3, Top 1 (SCI Q1)

CiteScore: 23.5, Top 2% (Q1)
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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2016 > 3(3): 271-280

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.

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

1. School of Automation, Nanjing Institute of Technology, Nanjing 211167, China;
2. School of Engineering, University of California, CA 95343, USA

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).

Abstract

Abstract

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.
- Fractional order modeling,
- fractional calculus,
- human operator,
- human in the loop,
- second order controlled plant

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References

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

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