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Proceedings Paper

Application of adaptive PID control based on RBF-NN for the supercritical main steam
Author(s): Yun-Juan Li; Yan-jun Fang
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Paper Abstract

The traditional PID control with RBF function the nerve network integration and made based on RBF the nerve network the PID controller. the controller for the supercritical main system, the network for temperature control system RBF an on-line to identify and build up the reference in the line and PID controller model for providing information and controllers of the online study to their control, adjust the parameter from online, the performance indicators. MATLAB simulation results show that the controller for temperature system has good control, not only keep track of good performance and robustness better.

Paper Details

Date Published: 13 January 2012
PDF: 4 pages
Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 834920 (13 January 2012); doi: 10.1117/12.921377
Show Author Affiliations
Yun-Juan Li, Kunming Univ. (China)
Wuhan Univ. (China)
Yan-jun Fang, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 8349:
Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis
Zhu Zeng; Yuting Li, Editor(s)

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