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

Autor: Pham Nhat Phuong, Pavel Brandstetter, Cuong Dinh Tran, Minh Chau Huu Nguyen, Thinh Cong Tran, Sang Dang Ho
Rok vydání: 2019
Předmět:
Zdroj: Lecture Notes in Electrical Engineering ISBN: 9783030149062
DOI: 10.1007/978-3-030-14907-9_57
Popis: 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.
Databáze: OpenAIRE