Nonlinear Model Predictive Control of the Czochralski Process

被引：16
|
作者：
Rahmanpour, Parsa [1 ]
Saelid, Steinar [2 ]
Hovd, Morten [1 ,3 ]
Gronning, Oddvar [2 ]
Jomaa, Moez
机构：
[1] Norwegian Univ Sci & Technol NTNU, Dept Engn Cybernet, NO-7491 Trondheim, Norway
[2] Prediktor AS, Fredrikstad, Norway
[3] SINTEF, Oslo, Norway
来源：
IFAC PAPERSONLINE | 2016年 / 49卷 / 20期
关键词：
CRYSTAL-GROWTH;
D O I：
10.1016/j.ifacol.2016.10.107
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Commercially, the Czochralski process is the most commonly applied method for production of monocrystalline silicon for semiconductor and solar cell applications. The process has traditionally been controlled using nested single-loop controllers. Due to the complex and nonlinear nature of the Cz process, Lids paper considers model-based control of the process with application of nonlinear model predictive controllers. (C) 2016, IFAC (International Federation Control) Hosting By Elsevier Ltd. All rights reserverd.
引用
收藏
页码：120 / 125
页数：6
相关论文
共 50 条
  • [41] Economic Model Predictive Control of Nonlinear Process Systems Using Empirical Models
    Alanqar, Anas
    Ellis, Matthew
    Christofides, Panagiotis D.
    AICHE JOURNAL, 2015, 61 (03) : 816 - 830
  • [42] Economic model predictive control of nonlinear process systems using Lyapunov techniques
    Heidarinejad, Mohsen
    Liu, Jinfeng
    Christofides, Panagiotis D.
    AICHE JOURNAL, 2012, 58 (03) : 855 - 870
  • [43] Nonlinear Model Predictive Control for pH Neutralization Process based on SOMA Algorithm
    Degachi, Hajer
    Chagra, Wassila
    Ksouri, Moufida
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2018, 9 (01) : 391 - 398
  • [44] 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
  • [45] Varying model based adaptive predictive control of highly nonlinear chemical process
    Luo, XL
    Zuo, X
    Du, DL
    2005 International Conference on Control and Automation (ICCA), Vols 1 and 2, 2005, : 537 - 540
  • [46] Nonlinear multiobjective model-predictive control scheme for wastewater treatment process
    Han, Hong-Gui
    Qian, Hu-Hai
    Qiao, Jun-Fei
    JOURNAL OF PROCESS CONTROL, 2014, 24 (03) : 47 - 59
  • [47] Combined Nonlinear Model Predictive Control and Moving Horizon Estimation for a Copolymerization Process
    Diehl, M.
    Kuehl, P.
    Bock, H. G.
    Schloeder, J. R.
    Mahn, B.
    Kallrath, J.
    16TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING AND 9TH INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING, 2006, 21 : 1527 - 1532
  • [48] Output feedback stochastic nonlinear model predictive control of a polymerization batch process
    Bradford, Eric
    Reble, Marcus
    Imsland, Lars
    2019 18TH EUROPEAN CONTROL CONFERENCE (ECC), 2019, : 3144 - 3151
  • [49] Sequential and Iterative Architectures for Distributed Model Predictive Control of Nonlinear Process Systems
    Liu, Jinfeng
    Chen, Xianzhong
    Munoz de la Pena, David
    Christofides, Panagiotis D.
    AICHE JOURNAL, 2010, 56 (08) : 2137 - 2149
  • [50] 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 COMPUTERS, COMMUNICATIONS, CONTROL AND AUTOMATION (CCCA 2011), VOL I, 2010, : 432 - 435
12345