A Nonlinear Predictive Controller Based on Chaos Optimization Apply to Reheated Steam Temperature
- 10.2991/isccca.2013.49How to use a DOI?
- reheated steam temperature, chaos optimization,nonlinear predictive control,neural network
In the power plant reheat steam temperature control system with large time delay, large inertia and dynamic variation of uncertainty, a new nonlinear predictive controller is proposed which combines neural network identification, chaos optimization algorithm (COA) and the concept of predictive contro1. The controller utilizes neural network as predictive model and COA as online optimization. It can avoid calculating the complicated gradient and the inverse matrix in the nonlinear predictive control. The simulation studies show the effective performance of the proposed controller.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Weihong Wu AU - Weiping Yan AU - Zhimin Guan PY - 2013/02 DA - 2013/02 TI - A Nonlinear Predictive Controller Based on Chaos Optimization Apply to Reheated Steam Temperature BT - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013) PB - Atlantis Press SP - 196 EP - 199 SN - 1951-6851 UR - https://doi.org/10.2991/isccca.2013.49 DO - 10.2991/isccca.2013.49 ID - Wu2013/02 ER -