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Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
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Sensors and Materials, Volume 30, Number 4(2) (2018)
Copyright(C) MYU K.K.
pp. 845-856
S&M1543 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2018.1788
Published: April 27, 2018

Speed Estimation of Stator Field Orientation Control Induction Motor Drive Based on the Particle Swarm Optimization Algorithm [PDF]

Yung-Chang Luo, Chen-Lung Tsai, and Ying-Piao Kuo

(Received October 27, 2017; Accepted January 4, 2018)

Keywords: speed estimation, flux observer, current sensor, particle swarm optimization (PSO) algorithm, stator field orientation control (SFOC) induction motor (IM) drive

In this study, flux-observer-based speed estimation was used to achieve stator field orientation control (SFOC) of an induction motor (IM) drive utilizing both stator current and stator flux, and the stator current was obtained from an IM by utilizing Hall effect current sensors. The speed estimation scheme was designed in accordance with the Lyapunov stability theory, and the flux observer gain matrix was acquired by the application of a modified particle swarm optimization (PSO) algorithm. The MATLAB/Simulink toolbox was used for simulation, and all the control algorithms were realized using a 32-bit RX62T micro controller to generate pulse width modulation (PWM) signals to the power stage, to drive the motor, and to validate this approach. Both simulation and experimental results confirmed the effectiveness of the proposed system.

Corresponding author: Yung-Chang Luo


Cite this article
Yung-Chang Luo, Chen-Lung Tsai, and Ying-Piao Kuo, Speed Estimation of Stator Field Orientation Control Induction Motor Drive Based on the Particle Swarm Optimization Algorithm, Sens. Mater., Vol. 30, No. 4, 2018, p. 845-856.



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