Characterization of induction machines with a genetic algorithm

被引：6
|
作者：
Souza, EB [1 ]
Lima, AMN [1 ]
Jacobina, CB [1 ]
机构：
[1] Univ Fed Pernambuco, Dept Eletron & Sistemas, Recife, PE, Brazil
来源：
IEMDC'99 - IEEE INTERNATIONAL ELECTRIC MACHINES AND DRIVES CONFERENCE, PROCEEDINGS | 1999年
关键词：
D O I：
10.1109/IEMDC.1999.769142
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 paper, the characterization of the induction machine is formulated as a nonlinear estimation problem. The solution of the estimation problem is achieved with a genetic algorithm that aims at minimizing a quadratic cost function. The data sources used in the proposed formulation correspond to the values of the current and power absorbed by the machine in standard laboratory tests. The characterization obtained with the proposed technique is compared with that obtained with the classical no-load a locked rotor tests either by simulation and experimentally.
引用
收藏
页码：446 / 448
页数：3
相关论文
共 50 条
  • [21] Support vector machines ensemble with optimizing weights by genetic algorithm
    He, Ling-Min
    Yang, Xiao-Bing
    Kong, Fan-Sheng
    PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 3503 - +
  • [22] Gene selection using genetic algorithm and support vectors machines
    Li, Shutao
    Wu, Xixian
    Hu, Xiaoyan
    SOFT COMPUTING, 2008, 12 (07) : 693 - 698
  • [23] ECG Arrhythmia Classification with Support Vector Machines and Genetic Algorithm
    Nasiri, Jalal A.
    Naghibzadeh, Mahmoud
    Yazdi, H. Sadoghi
    Naghibzadeh, Bahram
    2009 THIRD UKSIM EUROPEAN SYMPOSIUM ON COMPUTER MODELING AND SIMULATION (EMS 2009), 2009, : 187 - +
  • [24] Gene selection using genetic algorithm and support vectors machines
    Shutao Li
    Xixian Wu
    Xiaoyan Hu
    Soft Computing, 2008, 12 : 693 - 698
  • [25] Grouping both machines and parts in cellular technology by Genetic Algorithm
    Maleki, Reza
    Ketabi, Saeedeh
    Rafiei, Farimah Mokhatab
    JOURNAL OF INDUSTRIAL AND PRODUCTION ENGINEERING, 2018, 35 (02) : 91 - 101
  • [26] Parameter Influence in Genetic Algorithm Optimization of Support Vector Machines
    Gaspar, Paulo
    Carbonell, Jaime
    Oliveira, Jose Luis
    6TH INTERNATIONAL CONFERENCE ON PRACTICAL APPLICATIONS OF COMPUTATIONAL BIOLOGY & BIOINFORMATICS, 2012, 154 : 43 - +
  • [27] A genetic algorithm for solving the inverse problem of support vector machines
    Wang, XZ
    He, Q
    Chen, DG
    Yeung, D
    NEUROCOMPUTING, 2005, 68 : 225 - 238
  • [28] Minimizing Total Tardiness on Parallel Machines Based on Genetic Algorithm
    Wang, Chengyao
    Li, Zhan
    Zhu, Shuqin
    2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 165 - 169
  • [29] Using NSGA II Multiobjective Genetic Algorithm for EKF-based Estimation of Speed and Electrical Torque in AC Induction Machines
    Alsofyani, I. M.
    Idris, N. R. N.
    Jannati, M.
    Anbaran, S. A.
    Alamri, Y. A.
    2014 IEEE 8TH INTERNATIONAL POWER ENGINEERING AND OPTIMIZATION CONFERENCE (PEOCO), 2014, : 396 - 401
  • [30] Fuzzy Parallel Machines Scheduling Problem Based on Genetic Algorithm
    Yuan, Xie
    ADVANCED RESEARCH ON INDUSTRY, INFORMATION SYSTEMS AND MATERIAL ENGINEERING, PTS 1-7, 2011, 204-210 : 856 - 861
12345