A Neural Network Model Reference Adaptive System for Speed Estimation of Sensorless Induction Motor

被引：0
|
作者：
Yang, Youlin [1 ]
机构：
[1] Bohai Univ, Coll Engn, Jinzhou 121013, Peoples R China
来源：
2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2017年
关键词：
Model Reference Adaptive System; Neural Network; Speed Estimation; Sensorless Induction Motor; ROTOR FLUX; DRIVES; MRAS;
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：
A neural network model reference adaptive system is designed for speed estimation of sensorless induction motor. The neural network identifier is used as reference model to replace the voltage model of rotor flux. This improves the accuracy of speed estimation under the interference of parameters such as winding resistance and mutual inductance. On the basis of model reference adaptive system, the single neuron adaptive algorithm is applied to increase the robustness of system compared with the PI regulation algorithm. The simulation results have shown that the neural network model reference adaptive system has better accuracy and stronger stability than ordinary model reference adaptive system for speed estimation of sensorless induction motor.
引用
收藏
页码：6864 / 6868
页数：5
相关论文
共 50 条
  • [1] Neural Network Model Reference Adaptive System Speed Estimation for Sensorless Control of a Doubly Fed Induction Generator
    Antonio Cortajarena, Jose
    De Marcos, Julian
    [J]. ELECTRIC POWER COMPONENTS AND SYSTEMS, 2013, 41 (12) : 1146 - 1158
  • [2] Sensorless Speed Estimation and Backstepping Control of Induction Motor Drive Using Model Reference Adaptive System
    Ameid, T.
    Menacer, A.
    Talhaoui, H.
    Ammar, A.
    Azzoug, Y.
    [J]. 2017 5TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING - BOUMERDES (ICEE-B), 2017,
  • [3] Sensorless speed estimation for induction motor based on neural network
    Deng, Hui
    Yang, Jing
    Xu, Dianguo
    [J]. WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 2891 - 2895
  • [4] Sensorless control of induction motor using a neural network for speed estimation
    Kazmierkowski, MP
    Sobczuk, DL
    Filipek, PZ
    [J]. ISIE '97 - PROCEEDINGS OF THE IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, VOLS 1-3, 1997, : 1242 - 1246
  • [5] A Sensorless Neural Model Reference Adaptive Control for Induction Motor Drives
    Bensalem, Yemna
    Abdelkrim, Mohamed Naceur
    [J]. 2009 3RD INTERNATIONAL CONFERENCE ON SIGNALS, CIRCUITS AND SYSTEMS (SCS 2009), 2009, : 286 - 291
  • [6] Research of Speed Sensorless Vector Control of an Induction Motor Based on Model Reference Adaptive System
    Zhou, Yali
    Li, Yongdong
    Zheng, Zedong
    [J]. ICEMS 2008: PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS, VOLS 1- 8, 2008, : 1381 - +
  • [7] FUZZY NEURAL NETWORK SPEED ESTIMATION METHOD FOR INDUCTION MOTOR SPEED SENSORLESS CONTROL
    Lu, Chun-Hao
    Tai, Cheng-Chi
    Chen, Tien-Chi
    Wang, Wei-Chung
    [J]. INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2015, 11 (02): : 433 - 446
  • [8] Neural network application for flux and speed estimation in the sensorless induction motor drive
    Orlowska-Kowalska, T
    Kowalski, CT
    [J]. ISIE '97 - PROCEEDINGS OF THE IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, VOLS 1-3, 1997, : 1253 - 1258
  • [9] Modified Robust Model Reference Adaptive System Scheme for a Speed Sensorless Vector Control of Induction Motor
    Bahloul, Mohamed
    Vargas, Alessandro N.
    Chrifi-Alaoui, Larbi
    Drid, Said
    Chaabane, Mohamed
    [J]. 2019 19TH INTERNATIONAL CONFERENCE ON SCIENCES AND TECHNIQUES OF AUTOMATIC CONTROL AND COMPUTER ENGINEERING (STA), 2019, : 473 - 478
  • [10] Speed Sensorless of a Bearingless Induction Motor Based on Super-Twisting-Model Reference Adaptive System
    Sun, Weiming
    Yang, Zebin
    Sun, Xiaodong
    Zhang, Dan
    [J]. 2017 20TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS), 2017,
12345