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2020 | OriginalPaper | Chapter

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

Authors : Thinh Cong Tran, Pavel Brandstetter, Cuong Dinh Tran, Sang Dang Ho, Minh Chau Huu Nguyen, Pham Nhat Phuong

Published in: AETA 2018 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application

Publisher: Springer International Publishing

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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.

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Metadata
Title
Parameters Estimation for Sensorless Control of Induction Motor Drive Using Modify GA and CSA Algorithm
Authors
Thinh Cong Tran
Pavel Brandstetter
Cuong Dinh Tran
Sang Dang Ho
Minh Chau Huu Nguyen
Pham Nhat Phuong
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-14907-9_57