Analytical model for performance prediction of linear resolver

被引:29
|
作者
Saneie, Hamid [1 ]
Nasiri-Gheidari, Zahra [1 ]
Tootoonchian, Farid [2 ]
机构
[1] Sharif Univ Technol, Dept Elect Engn, Tehran, Iran
[2] Iran Univ Sci & Technol, Dept Elect Engn, Tehran, Iran
基金
美国国家科学基金会;
关键词
Maxwell equations; finite element analysis; electric machines; performance prediction; linear resolver; analytical model; machine layers; finite element method; computational time; VARIABLE-RELUCTANCE RESOLVER; AXIAL FLUX RESOLVER; POSITION ERROR; DESIGN; MOTORS;
D O I
10.1049/iet-epa.2016.0693
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
In this study an analytical model based on solving Maxwell equations in the machine layers is presented for linear resolver (LR). Anisotropy, field harmonics, slot effects, number of slots per pole per phase and the effect of tooth skewing are considered in the model. The proposed method is a design oriented technique that can be used for performance prediction and design optimisation of the LR due to its acceptable accuracy and fast computation time. Two- and three-dimensional time stepping finite element method (FEM) is employed to validate the results of the proposed model. Good correlations between the results obtained by the proposed method and the FEM confirm the superiority of the proposed method over the FEM due to its much lower computational time. Finally, the prototype of the proposed sensor is built and tested. The results of the experimental tests verify the accuracy of the simulations.
引用
收藏
页码:1457 / 1465
页数:9
相关论文
共 50 条
  • [1] Position error calculation of linear resolver under mechanical fault conditions
    Daniar, Ahmad
    Nasiri-Gheidari, Zahra
    Tootoonchian, Farid
    IET SCIENCE MEASUREMENT & TECHNOLOGY, 2017, 11 (07) : 948 - 954
  • [2] Magnetic Equivalent Circuit Model for Performance Prediction of Two-DOF Planar Resolver
    Zare, Fateme
    Tootoonchian, Farid
    Daniar, Ahmad
    Gardner, Matthew C.
    Akin, Bilal
    IEEE ACCESS, 2023, 11 : 102207 - 102216
  • [3] Performance Analysis of Variable Reluctance Linear Resolver by Parametric Magnetic Equivalent Circuit in Healthy and Faulty Cases
    Naderi, Peyman
    Ramezannezhad, Arman
    Vandevelde, Lieven
    IEEE SENSORS JOURNAL, 2021, 21 (18) : 19912 - 19921
  • [4] Subdomain Model for Predicting the Performance of Linear Resolver Considering End Effect and Slotting Effect
    Paymozd, Ayub
    Saneie, Hamid
    Nasiri-Gheidari, Zahra
    Tootoonchian, Farid
    IEEE SENSORS JOURNAL, 2020, 20 (24) : 14747 - 14755
  • [5] A Nonlinear Analytical Model for the Rapid Prediction of the Torque of Synchronous Reluctance Machines
    Bacco, Giacomo
    Bianchi, Nicola
    Mahmoud, Hanafy
    IEEE TRANSACTIONS ON ENERGY CONVERSION, 2018, 33 (03) : 1539 - 1546
  • [6] A practical analytical model for performance prediction in unconventional gas reservoir
    Qiu, Kaixuan
    FRONTIERS IN EARTH SCIENCE, 2023, 11
  • [7] A Novel Linear Resolver Proposal and Its Performance Analysis Under Healthy and Asymmetry Air-Gap Fault
    Naderi, Peyman
    Ramezannezhad, Arman
    Vandevelde, Lieven
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 71
  • [8] Selection of Excitation Signal Waveform for Improved Performance of Wound-Rotor Resolver
    Farhadi-Beiranvand, A.
    Alipour-Sarabi, R.
    Nasiri-Gheidari, Z.
    Tootoonchian, F.
    2019 10TH INTERNATIONAL POWER ELECTRONICS, DRIVE SYSTEMS AND TECHNOLOGIES CONFERENCE (PEDSTC), 2019, : 160 - 165
  • [9] An Analytical Model for Multilevel Performance Prediction of Multi-FPGA Systems
    Holland, Brian
    George, Alan D.
    Lam, Herman
    Smith, Melissa C.
    ACM TRANSACTIONS ON RECONFIGURABLE TECHNOLOGY AND SYSTEMS, 2011, 4 (03)
  • [10] Design And Optimization Of A Novel Linear Reluctance Resolver
    Li, Jie
    Li, Xiao
    Gui, Xianguo
    2019 22ND INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2019), 2019, : 4872 - 4877