• DocumentCode
    176226
  • Title

    Flux observer of induction motor based on “assumed inherent sensor” inversion

  • Author

    Guohai Liu ; Manlu Wang ; Yuhan Ding ; Congli Mei ; Hui Jiang ; Jinxiang Cheng

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Jiangsu Univ., Zhenjiang, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    2426
  • Lastpage
    2429
  • Abstract
    In induction motor vector control system, the obtaining of accurate rotor flux is of essential significance. Based on the “assumed inherent sensor” reverse principle, a new method for observing flux is proposed. It firstly assumes that there exists a subsystem inside the induction motor, whose inputs are just the to-be-estimated variables while outputs the measurable variables and establishes the mathematical model of the subsystem. Then it analyzes the reversibility of the subsystem according to inverse system theory, and establishes the flux observer inverse model. Compared with traditional observation method, the proposed method provides a precise mathematical model with high measurement accuracy for observing flux. Simulation results show that: the inverse method of observation is extremely robust to changes of the rotor resistance and load and can achieve an accurate observation of the rotor flux.
  • Keywords
    induction motors; machine vector control; mathematical analysis; observers; rotors; sensors; flux observer inverse model; induction motor vector control system; inherent sensor inversion; inverse system theory; mathematical model; observing flux; rotor flux; rotor resistance; Abstracts; Educational institutions; Electronic mail; Induction motors; Mathematical model; Observers; Rotors; Assumed Inherent Sensor; Flux; Induction Motor; Inverse System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852580
  • Filename
    6852580