System identification and model-based control for distributed parameter systems

被引：49
|
作者：
Zheng, D [1 ]
Hoo, KA [1 ]
机构：
[1] Texas Tech Univ, Dept Chem Engn, Lubbock, TX 79409 USA
来源：
COMPUTERS & CHEMICAL ENGINEERING | 2004年 / 28卷 / 08期
基金：
美国国家科学基金会;
关键词：
empirical eigenfunctions; Karhunen Loeve expansion; singular value decomposition; QDMC; multiple-input multiple-output;
D O I：
10.1016/j.compchemeng.2003.09.035
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A linear, low-order input/output model is identified for a nonlinear distributed parameter system using a combination of singular value decomposition and the Karhunen Loeve expansion. The model captures the dominant behavior of the system around a nominal operating point. A quadratic dynamic model-based controller (QDMC) is designed based on this low-order model. Sufficient conditions for closed-loop stability are presented and proven. The system identification method and the resulting QDMC controller are demonstrated on a nonlinear multiple-input multiple-output (MIMO) chemical reactor that produces benzene from the hydro-dealkylation of toluene. (C) 2003 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1361 / 1375
页数：15
相关论文
共 50 条
  • [31] Model-based parameter identification of a fluid power component
    Manhartsgruber, B
    Mikota, J
    [J]. POWER TRANSMISSION AND MOTION CONTROL, 2002, : 229 - 244
  • [32] MODEL-BASED DEVELOPMENT FRAMEWORK FOR DISTRIBUTED EMBEDDED CONTROL OF AIRCRAFT FUEL SYSTEMS
    Insaurralde, Carlos C.
    Seminario, Miguel A.
    Jimenez, Juan F.
    Giron-Sierra, Jose M.
    [J]. 29TH DIGITAL AVIONICS SYSTEMS CONFERENCE: IMPROVING OUR ENVIRONMENT THROUGH GREEN AVIONICS AND ATM SOLUTIONS, 2010,
  • [33] PARAMETER IDENTIFICATION FOR MODEL-BASED CONTROL OF HYDRAULICALLY ACTUATED OPEN-CHAIN MANIPULATORS
    Hulttinen, Lionel
    Koivumaki, Janne
    Mattila, Jouni
    [J]. PROCEEDINGS OF THE ASME/BATH SYMPOSIUM ON FLUID POWER AND MOTION CONTROL, 2019, 2020,
  • [34] Effectiveness of Voltage Error Compensation and Parameter Identification for Model-Based Sensorless Control of IPMSM
    Inoue, Yukinori
    Yamada, Koji
    Morimoto, Shigeo
    Sanada, Masayuki
    [J]. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2009, 45 (01) : 213 - 221
  • [35] Parameter Identification and Model-Based Nonlinear Robust Control of Fluidic Soft Bending Actuators
    Wang, Tao
    Zhang, Yunce
    Chen, Zheng
    Zhu, Shiqiang
    [J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2019, 24 (03) : 1346 - 1355
  • [36] Model-Based Actuator Fault Accommodation for Distributed Parameter Systems Represented by Coupled Linear PDEs
    Cai, Jia
    Ferdowsi, Hasan
    Jagannathan, S.
    [J]. 2015 IEEE CONFERENCE ON CONTROL AND APPLICATIONS (CCA 2015), 2015, : 978 - 983
  • [37] Model-based verification method for solving the parameter uncertainty in the train control system
    Cheng, Ruijun
    Zhou, Jin
    Chen, Dewang
    Song, Yongduan
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2016, 145 : 169 - 182
  • [38] Identification and adaptive control of some stochastic distributed parameter systems
    Pasik-Duncan, B
    [J]. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2001, 15 (06) : 565 - 587
  • [39] Model reference adaptive control of distributed parameter systems
    Bohm, M
    Demetriou, MA
    Reich, S
    Rosen, IG
    [J]. SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 1998, 36 (01) : 33 - 81
  • [40] Model reference adaptive control of distributed parameter systems
    Orlov, YV
    [J]. PROCEEDINGS OF THE 36TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5, 1997, : 263 - 268
12345