Speed Estimation for Induction Motor using Model Reference Adaptive System and Fuzzy Logic Controller

International Journal of Electrical and Electronics Engineering
© 2019 by SSRG - IJEEE Journal
Volume 6 Issue 3
Year of Publication : 2019
Authors : Vo Quang Vinh, Pham Thi Hong Hanh, Vu thi Kim Nhi
: 10.14445/23488379/IJEEE-V6I3P102
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Citation:
MLA Style:

Vo Quang Vinh, Pham Thi Hong Hanh, Vu thi Kim Nhi, "Speed Estimation for Induction Motor using Model Reference Adaptive System and Fuzzy Logic Controller" SSRG International Journal of Electrical and Electronics Engineering 6.3 (2019): 1-9.

APA Style:

Vo Quang Vinh, Pham Thi Hong Hanh, Vu thi Kim Nhi,(2019). Speed Estimation for Induction Motor using Model Reference Adaptive System and Fuzzy Logic Controller. SSRG International Journal of Electrical and Electronics Engineering 6(3), 1-9.

Abstract:

Three-phase induction motors have been widely used in industry. In addition, sensorless speed electric drive systems are more and more popular as they have small sizes, low-costs, high reliability and suitable with novel robust control algorithms. In these drive systems, the speed measuring devices with tachometers or photoelectric encoders have been replaced by sensorless estimation algorithms. This paper describes a method of sensorless speed estimation of three-phase induction motor based on MRAS and Fuzzy logic controller. The simulation results obtained show that the estimated motor speed tracks the actual motor speed with very small error.

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Key Words:

Induction motor, Model reference adaptive systems- MRAS, Speed estimation, Fuzzy logic controller, Sensorless estimation, Kalman filter, Sliding mode observer, Luenberger observer.