Nonlinear-Measurement-Based Integrated Robust Design and Control for Manufacturing System

被引:6
|
作者
Lu, Xin Jiang [1 ]
Huang, Ming Hui [1 ]
机构
[1] Cent S Univ, State Key Lab High Performance Complex Mfg, Changsha 410083, Peoples R China
关键词
Design for control; integration of design and control; nonlinearity measurement; robust design; robust pole assignment; CONTROLLABILITY; OPTIMIZATION; UNCERTAINTY;
D O I
10.1109/TIE.2012.2196900
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 novel integrated design and control method is proposed to simplify the design of a controller and achieve a robust pole placement for nonlinear manufacturing system. The key idea in this method is to obtain an easily controlled dynamic behavior through process design and integrate the merits of both robust design and control to ensure the robust pole placement under parameter uncertainty. First, a design-for-control approach is developed to make the system have a well linear approximation and be controllable. This can effectively reduce the system nonlinearity so that the system designed is easy to predict and control. Then, a novel integrated robust design and control approach is proposed to guarantee the stability as well as the robust pole placement, which can effectively ensure the satisfactory dynamic robust performance under parameter uncertainty. Finally, the effectiveness of the proposed method will be demonstrated and confirmed on the application of two nonlinear cases.
引用
收藏
页码:2711 / 2720
页数:10
相关论文
共 50 条
  • [21] Subspace-Modeling-Based Nonlinear Measurement for Process Design
    Lu, XinJiang
    Huang, MingHui
    Li, YiBo
    Chen, Min
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2011, 50 (23) : 13457 - 13465
  • [22] Probabilistic robust design for covariance minimization of nonlinear system
    Lu, XinJiang
    Li, Han-Xiong
    MECHANISM AND MACHINE THEORY, 2012, 52 : 195 - 205
  • [23] Stability and robust design using a sector nonlinearity approach for nonlinear manufacturing systems
    Lu, XinJiang
    Li, Han-Xiong
    Huang, MingHui
    MECHANISM AND MACHINE THEORY, 2014, 82 : 115 - 127
  • [24] Robust control design for suspension system in LIGO
    Roy, Ashmita
    Banavar, Ravi N.
    CLASSICAL AND QUANTUM GRAVITY, 2023, 40 (19)
  • [25] Design of robust control system for the PMS motor
    Azaiz, Ahmed
    Ramdani, Youcef
    Meroulfel, Abdelkader
    JOURNAL OF ELECTRICAL ENGINEERING-ELEKTROTECHNICKY CASOPIS, 2007, 58 (06): : 326 - 333
  • [26] Digital design of an integrated purification system for continuous pharmaceutical manufacturing
    Hur, Inyoung
    Casas-Orozco, Daniel
    Laky, Daniel J.
    Destro, Francesco
    Nagy, Zoltan K.
    CHEMICAL ENGINEERING SCIENCE, 2024, 285
  • [27] Beyond linear limits: Design of robust nonlinear PID control
    Zhao, Cheng
    Wang, Dayi
    Xue, Wenchao
    AUTOMATICA, 2025, 173
  • [28] Nonlinear robust control design for a 6 DOF parallel robot
    Dong Hwan Kim
    Ji-Yoon Kang
    Kyo-Il Lee
    KSME International Journal, 1999, 13 : 557 - 568
  • [29] Nonlinear robust control design for a 6 DOF parallel robot
    Kim, DH
    Kang, JY
    Lee, KI
    KSME INTERNATIONAL JOURNAL, 1999, 13 (07): : 557 - 568
  • [30] A Robust Predictive Control Design for Nonlinear Active Suspension Systems
    Bououden, Sofiane
    Chadli, Mohammed
    Karimi, Hamid Reza
    ASIAN JOURNAL OF CONTROL, 2016, 18 (01) : 122 - 132