A Nonlinear Predictive Controller Based on Chaos Optimization Apply to Reheated Steam Temperature

DOI

10.2991/isccca.2013.49How to use a DOI?

Keywords

reheated steam temperature, chaos optimization,nonlinear predictive control,neural network

Abstract

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.

Copyright

© 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/).

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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  -