Design procedure for nonlinear multivariable processes control

被引:0
|
作者
Ciprian, Lupu [1 ]
Dumitru, Popescu [1 ]
Andreea, Udrea [1 ]
Catalin, Dimon [1 ]
机构
[1] Univ Politehn Bucuresti, Automat & Comp Sci, 313 Splaiul Independentei,Sector 6, Bucharest, Romania
关键词
multivariable control; nonlinear process; real time system;
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
This study presents comparative results of real time implementing of three methods for control a multivariable process with nonlinear static characteristics. The first two methods are classic and are based on decentralized control and respectively, oil static decoupling procedures. The third proposed method is developed using a combined feedforward and feedback control scheme with nonlinear compensators. The use of this last structure imposes solving some specific problems, like process's static characteristic determination, construction of a nonlinear compensator or robust control law design. The applicability of the proposed method and of the two classic methods is proved using a real-time structure based on RST control algorithms. In the end, its software implementation and the obtained results are also shown.
引用
收藏
页码:362 / +
页数:2
相关论文
共 50 条
  • [41] DIRECT DESIGN PROCEDURE FOR MULTIVARIABLE FEEDBACK SYSTEMS
    FALLSIDE, F
    SERAJI, H
    PROCEEDINGS OF THE INSTITUTION OF ELECTRICAL ENGINEERS-LONDON, 1971, 118 (06): : 797 - +
  • [42] Controller Design for Nonlinear Multivariable Systems
    Nassirharand, Amir
    Teh, Sze Hong
    2014 AMERICAN CONTROL CONFERENCE (ACC), 2014, : 2995 - 2999
  • [43] Nonlinear model predictive control of multivariable processes using block-structured models
    Harnischmacher, Gerrit
    Marquardt, Wolfgang
    CONTROL ENGINEERING PRACTICE, 2007, 15 (10) : 1238 - 1256
  • [44] A Novel Model-Free Adaptive Control Design for Multivariable Industrial Processes
    Xu, Dezhi
    Jiang, Bin
    Shi, Peng
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2014, 61 (11) : 6391 - 6398
  • [45] DYNAMIC OUTPUT-FEEDBACK CONTROL OF MINIMUM-PHASE MULTIVARIABLE NONLINEAR PROCESSES
    DAOUTIDIS, P
    KRAVARIS, C
    CHEMICAL ENGINEERING SCIENCE, 1994, 49 (04) : 433 - 447
  • [46] MULTIVARIABLE CONTROL OF CATALYTIC CRACKING PROCESSES
    MONGE, JJ
    GEORGAKIS, C
    CHEMICAL ENGINEERING COMMUNICATIONS, 1987, 61 (1-6) : 197 - 225
  • [47] Model predictive control for multivariable processes
    VanDoren, J
    CONTROL ENGINEERING, 1997, 44 (06) : 87 - 87
  • [48] Virtual Unmodeled Dynamics Modeling for Nonlinear Multivariable Adaptive Control With Decoupling Design
    Zhang, Yajun
    Chai, Tianyou
    Wang, Dianhui
    Chen, Xinkai
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2018, 48 (03): : 342 - 353
  • [49] Multivariable design of improved linear quadratic regulation control for MIMO industrial processes
    Zhang, Ridong
    Lu, Renquan
    Jin, Qibing
    ISA TRANSACTIONS, 2015, 57 : 276 - 285
  • [50] OPTIMAL CONTROL OF MULTIVARIABLE PERIODIC PROCESSES
    FJELD, M
    AUTOMATICA, 1969, 5 (04) : 497 - &