Application of adaptive PID control based on RBF-NN for the supercritical main steam

Yun-Juan Li; Yan-jun Fang

doi:10.1117/12.921377

13 January 2012 Application of adaptive PID control based on RBF-NN for the supercritical main steam

Yun-Juan Li, Yan-jun Fang

Proceedings Volume 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis; 834920 (2012) https://doi.org/10.1117/12.921377
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

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.

Citation Download Citation

Yun-Juan Li and Yan-jun Fang "Application of adaptive PID control based on RBF-NN for the supercritical main steam", Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 834920 (13 January 2012); https://doi.org/10.1117/12.921377

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