A Multi-variable Disturbance Observer for Model Predictive Control

被引:4
|
作者
Tange, Yoshio [1 ]
Nakazawa, Chikashi [1 ]
Matsui, Tetsuro [1 ]
机构
[1] Fuji Elect Adv Technol, Tokyo, Japan
来源
MED: 2009 17TH MEDITERRANEAN CONFERENCE ON CONTROL & AUTOMATION, VOLS 1-3 | 2009年
关键词
D O I
10.1109/MED.2009.5164652
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 this paper, a new method for disturbance rejection suitable for dynamic matrix control (DMC) is proposed. DMC has been widely used in many practical engineering fields as a very useful control method. Despite its usefulness and achievements, it has been pointed out that DMC gives poor performance with respect to disturbance rejection for some kinds of disturbances such as ramp-like disturbances. To overcome this weakness, we developed an easy-to-implement disturbance observer, which only requires step response models of plants. Illustrative examples are provided to show its effectiveness for the case where a ramp-like disturbance is acting on a plant.
引用
收藏
页码:856 / 861
页数:6
相关论文
共 50 条
  • [1] Disturbance Observer Enhanced PID Decoupling Control for Multi-variable Processes
    Chen Xi-song
    Li Juan
    Yang Jun
    Wang Jia-qu
    2013 32ND CHINESE CONTROL CONFERENCE (CCC), 2013, : 230 - 234
  • [2] Disturbance observer based control for linear multi-variable systems with uncertainties
    Yu, Zhe
    Wang, Lu
    Su, Jian-Bo
    Zidonghua Xuebao/Acta Automatica Sinica, 2014, 40 (11): : 2643 - 2649
  • [3] Disturbance observer based multi-variable control of ball mill grinding circuits
    Chen, X. S.
    Yang, J.
    Li, S. H.
    Li, Q.
    JOURNAL OF PROCESS CONTROL, 2009, 19 (07) : 1205 - 1213
  • [4] Networked Distributed Model Predictive Control for Multi-variable Coupling Process
    An, Aimin
    Han, Kejian
    Zhu, Lu
    Chen, Liang
    Liang, Ran
    2017 EIGHTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP), 2017, : 272 - 277
  • [5] The Design of Robust MIMO Neural Network Disturbance Observer for Multi-variable System
    Li Juan
    Li Shihua
    Li Shengquan
    2014 33RD CHINESE CONTROL CONFERENCE (CCC), 2014, : 2379 - 2383
  • [6] ADAPTIVE FUZZY MODEL BASED PREDICTIVE CONTROL FOR A MULTI-VARIABLE HEATING SYSTEM
    Mann, George K. I.
    Roy, Prodyut K.
    Hawlader, Bipul C.
    CONTROL AND INTELLIGENT SYSTEMS, 2011, 39 (01) : 68 - 77
  • [7] A feedforward decoupling strategy based on control model for the engineering application of multi-variable predictive control
    Liu J.-B.
    Sun W.
    Zhang X.-X.
    Ma X.-H.
    Zou T.
    Kongzhi yu Juece/Control and Decision, 2019, 34 (05): : 1094 - 1102
  • [8] Multi-rate generalized predictive control for multi-variable systems
    Park, I.O.
    Oh, J.H.
    Proceedings of the Institution of Mechanical Engineers. Part I, Journal of systems and control engineering, 1993, 207 (04) : 253 - 260
  • [9] Multi-variable generalized predictive control of hyperchaotic Rossler systems
    Dong, En-Zeng
    Chen, Zeng-Qiang
    Yuan, Zhu-Zhi
    Xitong Fangzhen Xuebao / Journal of System Simulation, 2006, 18 (09): : 2521 - 2524
  • [10] Multi-variable predictive control strategy with input increment resolution
    Zou T.
    Liu B.-W.
    Wang M.-C.
    Sun W.
    Kongzhi yu Juece/Control and Decision, 2019, 34 (07): : 1529 - 1536