Rotor Position Estimation Strategy Using Artificial Neural Network for a Novel Design Transverse Flux Machine

被引：1
|
作者：
Turker, Cigdem Gundogan [1 ]
Kuyumcu, Feriha Erfan [1 ]
机构：
[1] Kocaeli Univ, Dept Elect & Elect Engn, Kocaeli, Turkey
来源：
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY | 2015年 / 10卷 / 05期
关键词：
Artificial neural network; Rotor position estimation; Transverse flux machine; RELUCTANCE MOTOR-DRIVES; OBSERVER; SENSOR;
D O I：
10.5370/JEET.2015.10.5.2009
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：
The E-Core Transverse Flux Machine is a different design of transverse flux machines combined with reluctance principle. Determination of the rotor position is important for the movement of the ETFM by switching the phase currents in synchronism with the inductance regions of the stator windings. It is the first time that rotor position estimation based on Artificial Neural Network (ANN) is purposed to eliminate the position sensor for the ETFM. Simulation and experimental tests are demonstrated for the feasibility of the proposed estimation algorithm for the exercise bike application of the ETFM.
引用
收藏
页码：2009 / 2017
页数：9
相关论文
共 50 条
  • [41] Heat load estimation using Artificial Neural Network
    Panyafong, Apisit
    Neamsorn, Nattawut
    Chaichana, Chatchawan
    ENERGY REPORTS, 2020, 6 : 742 - 747
  • [42] SURFACE TEMPERATURE ESTIMATION USING ARTIFICIAL NEURAL NETWORK
    Veronez, M. R.
    Wittmann, G.
    Reinhardt, A. O.
    Da Silva, R. M.
    100 YEARS ISPRS ADVANCING REMOTE SENSING SCIENCE, PT 2, 2010, 38 : 612 - 617
  • [43] Apple Ripeness Estimation using Artificial Neural Network
    Hamza, Raja
    Chtourou, Mohamed
    PROCEEDINGS 2018 INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING & SIMULATION (HPCS), 2018, : 229 - 234
  • [44] Dynamic weight estimation using an artificial neural network
    Bahar, HB
    Horrocks, DH
    ARTIFICIAL INTELLIGENCE IN ENGINEERING, 1998, 12 (1-2): : 135 - 139
  • [45] Wind power estimation using artificial neural network
    Singh, Shikha
    Bhatti, T. S.
    Kothari, D. P.
    JOURNAL OF ENERGY ENGINEERING, 2007, 133 (01) : 46 - 52
  • [46] Rainfall estimation using artificial neural network group
    Zhang, M
    Fulcher, J
    Scofield, RA
    NEUROCOMPUTING, 1997, 16 (02) : 97 - 115
  • [47] Spatial estimation of transmissivity using artificial neural network
    Mukhopadhyay, A
    GROUND WATER, 1999, 37 (03) : 458 - 464
  • [48] Broiler weight estimation based on machine vision and artificial neural network
    Amraei, S.
    Abdanan Mehdizadeh, S.
    Salari, S.
    BRITISH POULTRY SCIENCE, 2017, 58 (02) : 200 - 205
  • [49] Design of an artificial neural network for the estimation of the flashover voltage on insulators
    Kontargyri, V. T.
    Gialketsi, A. A.
    Tsekouras, G. J.
    Gonos, I. F.
    Stathopulos, I. A.
    ELECTRIC POWER SYSTEMS RESEARCH, 2007, 77 (12) : 1532 - 1540
  • [50] Position control of marine helm using artificial neural network
    Zhu, Hui
    Rui, Yannian
    Gu, Jun
    Liu, Kaiqiang
    WMSCI 2007: 11TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL II, PROCEEDINGS, 2007, : 257 - 261
12345