A Nonlinear Model Predictive Control Strategy for superheater process in Thermal Power Plant

被引：0

作者：

Yan Genhui ^{[1
]}

Zhao Jun ^{[1
]}

Xu Zuhua ^{[1
]}

Shao Zhijiang ^{[1
]}

机构：

[1] Zhejiang Univ, State Key Lab Ind Control Technol, Hangzhou, Zhejiang, Peoples R China

来源：

2011 INTERNATIONAL CONFERENCE ON COMPUTERS, COMMUNICATIONS, CONTROL AND AUTOMATION (CCCA 2011), VOL I | 2010年

基金：

美国国家科学基金会;

关键词：

superheated steam temperature control; nonlinear model predictive control; LPV model; dynamic matrix control;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In thermal power plant, the superheated steam temperature affect both the security and thermal efficiency. It possesses the non-linear features under load changes. A nonlinear model predictive control strategy is proposed. A linear parameter varying (LPV) model is used to represent this nonlinear model, which is identified using linear models of selected working-points and other data. In each sample time, the model is linearized through the scheduling variable, and the linear predictive controller is designed. This method keeps better control performance than traditional PID and linear MPC. The effectiveness is verified in simulation platform of real 200MW power plant.

引用

页码：432 / 435

页数：4

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