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
  • [41] Integrated Robust Design Method Based on Maximum Tolerance Region
    郭健彬
    赵子覃
    赵健宇
    曾声奎
    郝志鹏
    Journal of Donghua University(English Edition), 2014, 31 (06) : 737 - 740
  • [42] Design of intelligent nonlinear robust controller for hydro-turbine governing system based on state-dynamic-measurement hybrid feedback linearization method
    Zou, Yidong
    Hu, Wenqing
    Xiao, Zhihuai
    Wang, Yunhe
    Chen, Jinbao
    Zheng, Yang
    Qian, Jing
    Zeng, Yun
    RENEWABLE ENERGY, 2023, 204 : 635 - 651
  • [43] Nonlinear Disturbance Observer Based Adaptive Explicit Nonlinear Model Predictive Control Design for a Class of Nonlinear MIMO System
    Dutta, Lakshmi
    Das, Dushmanta Kumar
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2023, 59 (02) : 1965 - 1979
  • [44] Intelligent Robust Control Design of a Precise Positioning System
    Raafat, Safanah M.
    Akmeliawati, Rini
    Martono, Wahyudi
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2010, 8 (05) : 1123 - 1132
  • [45] Integrated control policy of production and preventive maintenance for a deteriorating manufacturing system
    Kang, Kaican
    Subramaniam, Velusamy
    COMPUTERS & INDUSTRIAL ENGINEERING, 2018, 118 : 266 - 277
  • [46] An Integrated Optimal Design for Guaranteed Cost Control of Motor Driving System With Uncertainty
    Zeng, Tianyi
    Ren, Xuemei
    Zhang, Yao
    Li, Guang
    Na, Jing
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2019, 24 (06) : 2606 - 2615
  • [47] Robust market-based control method for nonlinear structure
    Song, Jian-Zhu
    Li, Hong-Nan
    Li, Gang
    EARTHQUAKES AND STRUCTURES, 2016, 10 (06) : 1253 - 1272
  • [48] An integrated robust iterative learning control strategy for batch processes based on 2D system
    Zhou, Liuming
    Jia, Li
    Wang, Yu-Long
    Peng, Daogang
    Tan, Wendan
    JOURNAL OF PROCESS CONTROL, 2020, 85 : 136 - 148
  • [49] Design of Fuzzy Control for Nonlinear System based on Improved Social Spider Optimal Algorithm
    Su, Yu-Ting
    Chung, Ming-Che
    Li, Tzuu-Hseng S.
    2019 INTERNATIONAL CONFERENCE ON FUZZY THEORY AND ITS APPLICATIONS (IFUZZY), 2019, : 237 - 242
  • [50] Design and intelligent control of building integrated photovoltaic system
    Hu, Qiqi
    Tang, Ruoli
    JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2017, 9 (04)