Internal model based robust inversion feedforward and feedback 2DOF control for LPV system with disturbance

被引:5
作者
Peng, Chao [1 ]
Zhang, Zhenzhen [2 ]
Zou, Jianxiao [1 ]
Li, Kai [1 ]
Zhan, Jian [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 611731, Sichuan, Peoples R China
[2] Southwest Univ Nationalities, Coll Elect & Informat Engn, Chengdu 610041, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
LPV system; Internal model based control; Disturbance compensation; Robust inversion feedforward and feedback 2DOF; H-infinity mixed sensitivity; DESIGN; TRACKING;
D O I
10.1016/j.jprocont.2013.09.004
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To reduce the adverse effects on the control performance and disturbance rejection caused by system uncertainty, a novel internal model based robust inversion feedforward and feedback 2DOF control approach was proposed for LPV system with disturbance. The proposed control approach combines the internal model control and robust inversion based 2DOF control, it utilizes internal model based control to reject external disturbance, utilizes robust inversion 2DOF control to enhance the control resolution and guarantee the system control performance. At first, a LMI synthesis approach for LPV system model identification and a disturbance compensator optimization design method which could minimize H-infinity norm of output error caused by disturbance are presented. Then, combined with internal loop for disturbance compensation, a robust inversion feedforward controller is designed by robust inversion approach and the feedback controller which could render the requirements of reference signal tracking performance and robustness satisfied is obtained by the H-infinity mixed sensitivity synthesis approach. Finally, atomic force microscopy (AFM) vertical positioning simulation experiments are conducted and the experiment results showed that the proposed control approach could achieve better output performance and disturbance rejection compared with conventional internal model based control and robust inversion based 2DOF control approach. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1415 / 1425
页数:11
相关论文
共 32 条
  • [1] Aphale SS, 2009, IEEE INT CONF ROBOT, P350, DOI 10.1109/ROBOT.2009.5152233
  • [2] Linear Parameter-Varying Iterative Learning Control With Application to a Linear Motor System
    Butcher, Mark
    Karimi, Alireza
    [J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2010, 15 (03) : 412 - 420
  • [3] Comparing Internal Model Control and Sliding-Mode Approaches for Vehicle Yaw Control
    Canale, Massimo
    Fagiano, Lorenzo
    Ferrara, Antonella
    Vecchio, Claudio
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2009, 10 (01) : 31 - 41
  • [4] An improved mixed H2/H∞ control design for hard disk drives
    Du, CL
    Xie, LH
    Teoh, JN
    Guo, GX
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2005, 13 (05) : 832 - 839
  • [5] Equivalence between adaptive feedforward cancellation and disturbance rejection using the internal model principle
    Guo, Xiuyan
    Bodson, Marc
    [J]. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2010, 24 (03) : 211 - 218
  • [6] Hasan M, 2012, 2012 12TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), P549
  • [7] Improved bounded-real-lemma representation and H∞ control of systems with polytopic uncertainties
    He, Y
    Wu, M
    She, JH
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2005, 52 (07) : 380 - 383
  • [8] Internal model control in the shift and delta domains
    Hoagg, Jesse B.
    Santillo, Mario A.
    Bernstein, Dennis S.
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2008, 53 (04) : 1066 - 1072
  • [9] Inversion-Based Feedforward Control of Polypyrrole Trilayer Bender Actuators
    John, Stephen W.
    Alici, Gursel
    Cook, Christopher D.
    [J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2010, 15 (01) : 149 - 156
  • [10] Flatness-Based Feedforward Control of a Two-Stage Turbocharged Diesel Air System with EGR
    Kotman, Philipp
    Bitzer, Matthias
    Kugi, Andreas
    [J]. 2010 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS, 2010, : 979 - 984