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
收藏
页码：432 / 435
页数：4
相关论文
共 50 条
  • [1] A NONLINEAR MODEL PREDICTIVE CONTROL STRATEGY FOR SUPERHEATER PROCESS IN THERMAL POWER PLANT
    Yan Genhui
    Zhao Jun
    Xu Zuhua
    Shao Zhijiang
    2011 INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND TECHNOLOGY (ICMET 2011), 2011, : 493 - 496
  • [2] Model predictive control of power plant superheater - comparison of multi model and nonlinear approaches
    Hlava, Jaroslav
    Opalka, Jan
    Johansen, Tor Arne
    2013 18TH INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN AUTOMATION AND ROBOTICS (MMAR), 2013, : 311 - 316
  • [3] A predictive control strategy for nonlinear NOx decomposition process in thermal power plants
    Peng, Hui
    Gui, Weihua
    Shioya, Hideo
    Zou, Runmin
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2006, 36 (05): : 904 - 921
  • [4] Fuzzy modeling and predictive control of superheater steam temperature for power plant
    Wu, Xiao
    Shen, Jiong
    Li, Yiguo
    Lee, Kwang Y.
    ISA TRANSACTIONS, 2015, 56 : 241 - 251
  • [5] Design of Multi Model Predictive Control for Nonlinear Process Plant
    Nguyen Tuan Hung
    Ismail, Idris
    Saad, Nordin B.
    Ibrahim, Rosdiazli
    Irfan, Muhammad
    2014 5TH INTERNATIONAL CONFERENCE ON INTELLIGENT AND ADVANCED SYSTEMS (ICIAS 2014), 2014,
  • [6] A hybrid model predictive control strategy for nonlinear plant-wide control
    Zhu, GY
    Henson, MA
    Ogunnaike, BA
    JOURNAL OF PROCESS CONTROL, 2000, 10 (05) : 449 - 458
  • [7] Fuzzy economic model predictive control for thermal power plant
    Liu, Xiangjie
    Cui, Jinghan
    IET CONTROL THEORY AND APPLICATIONS, 2019, 13 (08): : 1113 - 1120
  • [8] Fast Control Strategy of Virtual Power Plant based on Model Predictive Control
    Li, Mu
    2024 UKACC 14TH INTERNATIONAL CONFERENCE ON CONTROL, CONTROL, 2024, : 113 - 118
  • [9] Robust nonlinear model predictive control for a PWR nuclear power plant
    Eliasi, H.
    Menhaj, M. B.
    Davilu, H.
    PROGRESS IN NUCLEAR ENERGY, 2012, 54 (01) : 177 - 185
  • [10] Nonlinear Fuzzy Model Predictive Control for a PWR Nuclear Power Plant
    Liu, Xiangjie
    Wang, Mengyue
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 2014
12345