Robust output tracking of transverse flux machines using RBF neural network

被引：0
|
作者：
Karimi, HR [1 ]
Babazadeh, A [1 ]
Parspour, N [1 ]
机构：
[1] Univ Teheran, Fac Engn, Dept Elect & Comp Engn, Tehran, Iran
来源：
2004 IEEE CONFERENCE ON ROBOTICS, AUTOMATION AND MECHATRONICS, VOLS 1 AND 2 | 2004年
关键词：
RBF network; output tracking; robust control; transverse flux machine;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents an application of Radial Basis Function (RBF) in identification and control design of Transverse Flux Machines as nonlinear systems with unknown nonlinearity part. The 'technique of feedback linearization and H-infinity control are used to design an adaptive control law for compensating the unknown nonlinearity part, such the effect of cogging torque as a disturbance will be decreased onto the angle and angular velocity tracking performances.
引用
收藏
页码：496 / 501
页数：6
相关论文
共 50 条
  • [1] Modeling and output tracking of transverse flux permanent magnet machines using high gain observer and RBF neural network
    Karimi, HR
    Babazadeh, A
    ISA TRANSACTIONS, 2005, 44 (04) : 445 - 456
  • [2] Adaptive Output Tracking of Transverse Flux Machines Using Neuro-Fuzzy Approach
    Babazadeh, A.
    Karimi, H. R.
    JOURNAL OF APPLIED SCIENCE AND ENGINEERING, 2006, 9 (02): : 115 - 120
  • [3] A neuro-fuzzy based approach for output tracking of transverse Flux machines
    Babazadeh, A
    Karimi, HR
    Moshiri, B
    2005 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS (CCA), VOLS 1AND 2, 2005, : 272 - 276
  • [4] Robust Electromagnetic Design of Transverse Flux Machines for High Volume Production
    Washington, J. G.
    Pompermaier, C.
    Atkinson, G. J.
    2016 XXII INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES (ICEM), 2016, : 877 - 883
  • [5] Robust Control of a Mobile Inverted Pendulum Robot Using a RBF Neural Network Controller
    Noh, Jin Seok
    Lee, Geun Hyeong
    Choi, Ho Jin
    Jung, Seul
    2008 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, VOLS 1-4, 2009, : 1932 - 1937
  • [6] Robust neural network tracking controller using simultaneous perturbation stochastic approximation
    Song, Q
    Spall, JC
    Soh, YC
    42ND IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-6, PROCEEDINGS, 2003, : 6194 - 6199
  • [7] Neural Network Robust Control of Ship Trajectory Tracking
    Zhao Hui
    Shen Ji-hong
    2014 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (IEEE ICMA 2014), 2014, : 1371 - 1375
  • [8] A robust robotic tracking controller based on neural network
    Sun, W
    Wang, YN
    INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION, 2005, 20 (03) : 199 - 204
  • [9] Rotor Position Estimation Strategy Using Artificial Neural Network for a Novel Design Transverse Flux Machine
    Turker, Cigdem Gundogan
    Kuyumcu, Feriha Erfan
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2015, 10 (05) : 2009 - 2017
  • [10] Robust RBF Neural Network Control with Adaptive Sliding Mode Compensator for MEMS Gyroscope
    Fei, Juntao
    Yang, Yuzheng
    Wu, Dan
    2013 IEEE/ACIS 12TH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE (ICIS), 2013, : 449 - 454
12345