Adaptive fuzzy control of DC motors using state and output feedback

被引：66
|
作者：
Rigatos, Gerasimos G. [1 ]
机构：
[1] Ind Syst Inst, Unit Ind Automat, Rion 26504, Greece
来源：
ELECTRIC POWER SYSTEMS RESEARCH | 2009年 / 79卷 / 11期
关键词：
DC motors; Adaptive fuzzy control; State feedback; Output feedback; H infinity tracking; Neuro-fuzzy approximators; State observer; Field-oriented induction motors; NEURAL-NETWORK CONTROL; H-INFINITY TRACKING; NONLINEAR-SYSTEMS; IMPLEMENTATION; IDENTIFICATION; ROBUST;
D O I：
10.1016/j.epsr.2009.06.007
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Conventional PID of state feedback controllers for DC motors have poor performance when changes of the motor or load dynamics take place. To handle this shortcoming adaptive fuzzy control of DC motors is proposed. Neuro-fuzzy networks are used to approximate the unknown motor dynamics. The information needed to generate the control signal comes from feedback of the full state vector or from feedback of only the system's output. In the latter case a state observer is used to estimate the parameters of the state vector. The stability of the closed-loop system is proved with the use of Lyapunov analysis. The performance of the proposed control approach is evaluated through simulation tests. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码：1579 / 1592
页数：14
相关论文
共 50 条
  • [31] Adaptive fuzzy output feedback control for SISO nonlinear systems
    Wang, T
    Tong, SC
    PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2004, : 833 - 838
  • [32] Adaptive fuzzy output feedback control for SISO nonlinear systems
    Wang, Tao
    Tong, Shaocheng
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2006, 2 (01): : 51 - 60
  • [33] Adaptive Fuzzy Output Feedback Quantized Control for Uncertain Nonlinear Hysteretic Systems Using a New Feedback-Based Quantizer
    Wu, Honghui
    Liu, Zhi
    Zhang, Yun
    Chen, C. L. Philip
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2019, 27 (09) : 1738 - 1752
  • [34] Observer-Based Fuzzy Adaptive Inverse Optimal Output Feedback Control for Uncertain Nonlinear Systems
    Li, Yongming
    Min, Xiao
    Tong, Shaocheng
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2021, 29 (06) : 1484 - 1495
  • [35] Decentralized Adaptive Fuzzy Output-Feedback Control of Switched Large-Scale Nonlinear Systems
    Long, Lijun
    Zhao, Jun
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2015, 23 (05) : 1844 - 1860
  • [36] Robust output feedback adaptive sliding mode control for a class of uncertain nonlinear systems using robust adaptive fuzzy observer
    Kalat, A. Akbarzadeh
    Mokhtari, V.
    IRANIAN JOURNAL OF FUZZY SYSTEMS, 2021, 18 (01): : 171 - 183
  • [37] Adaptive Robust Control of DC Motors With Time-Varying Output Constraints
    Yang Guichao
    Yao Jianyong
    Le Guigao
    Ma Dawei
    2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 4256 - 4261
  • [38] Global adaptive output feedback control of induction motors with uncertain rotor resistance
    Marino, R
    Peresada, S
    Tomei, P
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1999, 44 (05) : 967 - 983
  • [39] Output Feedback Stabilization of Polynomial State-Affine Control Systems Using Control Templates
    Sacchelli, Ludovic
    Brivadis, Lucas
    Serres, Ulysse
    Ben Yaacov, Itai
    IEEE CONTROL SYSTEMS LETTERS, 2024, 8 : 1084 - 1089
  • [40] Direct adaptive fuzzy output feedback control with supervisory controller for uncertain nonlinear systems
    Tong, Shaocheng
    Xu, Jinxue
    Wang, Yongfu
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2005, 12 : 142 - 152
12345