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Parameters Estimation for Sensorless Control of Induction Motor Drive Using Modify GA and CSA Algorithm

  • Thinh Cong TranEmail author
  • Pavel Brandstetter
  • Cuong Dinh Tran
  • Sang Dang Ho
  • Minh Chau Huu Nguyen
  • Pham Nhat Phuong
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 554)

Abstract

This paper presents methods for estimating CB-MRAS model parameters such as K1(CB), K2(CB), K3(CB), Ti(CB), KLm, KTr by binary Genetic Algorithm (GA), real number GA, modify GA, and CucKoo Search Algorithm (CSA). The first part of the paper is the vector model of the induction motor and the CB-MRAS model for estimating parameters by the above algorithms; the second part is the detailed way to implement the algorithms; the third part is simulation and as a result of the simulation, the results show that it is possible to estimate the parameters of this model by the modify GA or CSA algorithm.

Keywords

A.C. drive Induction motor Vector control Modify Genetic Algorithm Estimating parameters Model CSA Optimization 

Notes

Acknowledgement

This paper was supported by the projects: Centre for Intelligent Drives and Advance Machine control (CIDAM) project, Reg. No. TE02000103 funded by the Technology Agency of the Czech Republic and Project Reg. No. SP2018/162 funded by the Student Grant Competition of VSB – Technical University of Ostrava.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Thinh Cong Tran
    • 1
    • 2
    Email author
  • Pavel Brandstetter
    • 2
  • Cuong Dinh Tran
    • 1
    • 2
  • Sang Dang Ho
    • 1
    • 2
  • Minh Chau Huu Nguyen
    • 2
  • Pham Nhat Phuong
    • 1
    • 2
  1. 1.Faculty of Electrical and Electronics EngineeringTon Duc Thang UniversityHo Chi Minh CityVietnam
  2. 2.Faculty of Electrical Engineering and Computer ScienceVSB-Technical University of OstravaOstrava-PorubaCzech Republic

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