Mathematical Modeling and Fuzzy Logic Control of a Brushless DC Motor Employed in Automobile and Industrial Applications

被引:0
|
作者
Kommula, Bapayya Naidu [1 ]
Kota, Venkata Reddy [1 ]
机构
[1] Jawaharlal Nehru Technol Univ Kakinada, Dept EEE, UCEK, Kakinada 533003, AP, India
关键词
Brushless DC motor (BLDCM); Fuzzy Logic Speed Controller (FLC); Hysteresis Current Controller (HCC); PI Speed Controller;
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
Brushless DC motors (BLDCM) are most popular because of their higher efficiency, less maintenance and precise control characteristics. However, this motor has nonlinear nature and can be affected easily by the parameter change and disruption. For any automobile and industrial applications, it is essential to govern the speed accurately. Because of their fixed gain values, high peak overshoot and high settling time the conventional PI controllers are inadequate to control this motor accurately. In this paper, to resolve the complications coupled with the typical PI, Fuzzy Logic Controller (FLC) is intended to eradicate the overshoot and to produce fast speed response of motor. The mathematical modeling of BLDCM along with the controller has been deduced for a 10 kW BLDC motor. The simulations are done in Matlab/Simulink environment for validating characteristics of FLC.
引用
收藏
页码:321 / 325
页数:5
相关论文
共 50 条
  • [21] Brushed DC Motor Drives for Industrial and Automobile Applications with Emphasis on Control Techniques: A Comprehensive Review
    Barkas, Dimitris A.
    Ioannidis, George C.
    Psomopoulos, Constantinos S.
    Kaminaris, Stavros D.
    Vokas, Georgios A.
    ELECTRONICS, 2020, 9 (06)
  • [22] Parameter Optimization for a fuzzy logic control of a Permanent Magnet Brushless Motor
    Andriniriniaimalaza, F. Philibert
    Razafinjaka, N. Jean
    Kreindler, Liviu M.
    2017 10TH INTERNATIONAL SYMPOSIUM ON ADVANCED TOPICS IN ELECTRICAL ENGINEERING (ATEE), 2017, : 211 - 216
  • [23] Minimizing torque ripple in a brushless DC motor with fuzzy logic: applied to control rod driving mechanism of MNSR
    Mohammad Divandari
    Mehdi Hashemi-Tilehnoee
    Bahram Asgari-Ziarati
    Mohammadreza Hosseinkhah
    Khashayar Sabagh
    NuclearScienceandTechniques, 2015, 26 (01) : 53 - 59
  • [24] Application of Fuzzy PI Control to Speed Control System of Brushless DC Motor
    Hu, Fahuan
    Qiu, Xiaotong
    Tang, Jun
    ELECTRICAL POWER & ENERGY SYSTEMS, PTS 1 AND 2, 2012, 516-517 : 1575 - +
  • [25] Adaptive Speed Control of Brushless DC (BLDC) Motor Based on Interval Type-2 Fuzzy Logic
    Davoudkhani, Iraj Faraji
    Akbari, Mohsen
    2016 24TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE), 2016, : 1119 - 1124
  • [26] Minimizing torque ripple in a brushless DC motor with fuzzy logic: applied to control rod driving mechanism of MNSR
    Divandari, Mohammad
    Hashemi-Tilehnoee, Mehdi
    Asgari-Ziarati, Bahram
    Hosseinkhah, Mohammadreza
    Sabagh, Khashayar
    NUCLEAR SCIENCE AND TECHNIQUES, 2015, 26 (01) : 54 - 60
  • [27] Ant colony algorithm based fuzzy control for a brushless DC motor
    Xia, Changliang
    Fang, Hongwei
    Chen, Wei
    Xiu, Jie
    Shi, Tingna
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 6498 - +
  • [28] Control of the position DC servo motor by fuzzy logic
    Khongkoom, N
    Kanchanathep, A
    Nopnakeepong, S
    Tanuthong, S
    Tunyasrirut, S
    Kagawa, R
    IEEE 2000 TENCON PROCEEDINGS, VOLS I-III: INTELLIGENT SYSTEMS AND TECHNOLOGIES FOR THE NEW MILLENNIUM, 2000, : B354 - B357
  • [29] The Application of Fuzzy Control in Brushless DC Motor for Pure Electric Vehicle
    Tan, Guangxing
    Shu, Wenqiang
    YifengGuo
    Liu, Meng
    2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION PROBLEM-SOLVING (ICCP), 2015, : 560 - 562
  • [30] Fuzzy adaptive single neuron NN control of brushless DC motor
    Jie Xiu
    Shiyu Wang
    Yan Xiu
    Neural Computing and Applications, 2013, 22 : 607 - 613