Research and Development of Intelligent Motor Test System

被引:4
|
作者
Li, Li [1 ]
Liu, Jian [1 ]
Yang, Yuelong [1 ]
机构
[1] Hunan Inst Engn, Coll Elect & Informat Engn, Xiangtan, Peoples R China
关键词
nonlinear least square method; curve fitting; motor testing; intelligent;
D O I
10.4304/jcp.7.9.2192-2199
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presented an intelligent motor test system in order to adapt the development trend of larger data scale and more complicated acquisition environment, and solve the low efficiency problem of motor testing device. It described the scheme of computer automatic data acquisition and processing system, application program structure and distributed network group control strategy of the intelligent motor testing system. The network group control system performes automatic switching and automatic controlling under various units running conditions in motor type testing. The paper also described in detail the equivalent circuit algorithm for motor working characteristics calculation and the non-linear LSM data fitting method for experiment curve. The system took full advantage of hybrid programming technology in interface developing, and of Period Tracking Technology which could solve the problems of measurement errors and low efficiency. It had been successfully applied in several motor manufactories.
引用
收藏
页码:2192 / 2199
页数:8
相关论文
共 50 条
  • [1] Research on the Algorithm of Intelligent Test System
    Xiao, Hua-Bo
    Huang, Shu-li
    [J]. FRONTIERS OF MECHANICAL ENGINEERING AND MATERIALS ENGINEERING II, PTS 1 AND 2, 2014, 457-458 : 811 - 814
  • [2] Research of pump performances intelligent test system
    Wang, Jianyu
    Li, Shaozhong
    [J]. INDUSTRIAL INSTRUMENTATION AND CONTROL SYSTEMS, PTS 1-4, 2013, 241-244 : 56 - 60
  • [3] Research on the Automatic Test System of Motor Drive
    Tang, Chen
    Zhang, Maoyun
    [J]. CYBER SECURITY INTELLIGENCE AND ANALYTICS, 2020, 928 : 692 - 699
  • [4] Research on Modular Intelligent Automatic Test System for Spacecraft
    Yi Ranran
    Zhang Yaolei
    Zhang Zhongyi
    Gao Zhuxiu
    Hu, Huang
    Yue, Li
    [J]. 2017 CHINESE AUTOMATION CONGRESS (CAC), 2017, : 3550 - 3553
  • [5] Research of Smart Substation Integrated Intelligent Test System
    Liu Xi
    Chen Jituo
    Yang Jianyou
    Zhou Yuzhi
    Qian Bifu
    [J]. PROCEEDINGS OF 2020 IEEE 5TH INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING CONFERENCE (ITOEC 2020), 2020, : 767 - 770
  • [6] Research on Intelligent Manufacturing System of Sustainable Development
    Zhang Ding-yi
    Qu Yan-li
    Wang Peng
    Fang Lin-shen
    [J]. 2019 2ND WORLD CONFERENCE ON MECHANICAL ENGINEERING AND INTELLIGENT MANUFACTURING (WCMEIM 2019), 2019, : 657 - 660
  • [7] The Development and Implementation of Intelligent Test Paper Assembling System
    Liu Ying
    Zhang Jiayi
    [J]. 2014 7TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION (ICICTA), 2014, : 777 - 780
  • [8] Development Status and Test Methods Research on Intelligent and Connected Vehicles
    Wang, Yang
    Liu, Yu
    Zhou, Bo-ya
    [J]. 2018 INTERNATIONAL CONFERENCE ON ELECTRICAL, CONTROL, AUTOMATION AND ROBOTICS (ECAR 2018), 2018, 307 : 724 - 728
  • [9] Research on the Energy Efficiency Test System of the Induction Motor
    Fan, Ying
    Yan, Huaguang
    Jiang, Limin
    Zhang, Xin
    [J]. MANUFACTURING SCIENCE AND TECHNOLOGY, PTS 1-8, 2012, 383-390 : 4848 - 4852
  • [10] Drive System Design and Characteristic Curve-Fitting of Intelligent Motor Test System
    Li Li
    Liu Jian
    Yang Yuelong
    [J]. OPTICAL, ELECTRONIC MATERIALS AND APPLICATIONS, PTS 1-2, 2011, 216 : 163 - 166