Speed Estimation Rotor-flux-vector-controlled Induction Motor Drive Based on Adaptive Flux Estimator

control (MRAC), ant colony optimization (ACO) algorithmA speed estimation scheme was proposed for the rotor-flux-vector-controlled (RFVC) induction motor (IM) drive.The decoupled RFVC IM drive was developed on the basis of stator current and rotor flux, with the measured stator current obtained from the IM using Hall effect current sensors.A model reference adaptive control rotor flux estimator was designed, utilizing both voltage-model and current-model rotor fluxes, and the adaptation mechanism was optimized using the ant colony optimization algorithm.The estimated rotor speed was derived from the adaptive rotor flux estimator.The MATLAB /Simulink toolbox was employed to simulate this system, and all control algorithms were implemented on a TI DSP 6713 and F2812 microcontrol card to validate the proposed approach.Both simulation and experimental results confirmed the effectiveness of the method.

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Publication Details

Journal
Sensors and Materials
Published
2025-03-28
DOI
https://doi.org/10.18494/sam5219
Primary Topic
Sensorless Control of Electric Motors
Type
article
Field-Weighted Citation Impact
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article

Speed Estimation Rotor-flux-vector-controlled Induction Motor Drive Based on Adaptive Flux Estimator

Wei‐Chen Lin, Yung-Chang Luo, Wen‐Cheng Pu, Hao-You Huang
Sensors and Materials
Sensorless Control of Electric Motors
article

Speed Estimation Rotor-flux-vector-controlled Induction Motor Drive Based on Adaptive Flux Estimator

Wei‐Chen Lin, Yung-Chang Luo, Wen‐Cheng Pu, Hao-You Huang
article en

Abstract

control (MRAC), ant colony optimization (ACO) algorithmA speed estimation scheme was proposed for the rotor-flux-vector-controlled (RFVC) induction motor (IM) drive.The decoupled RFVC IM drive was developed on the basis of stator current and rotor flux, with the measured stator current obtained from the IM using Hall effect current sensors.A model reference adaptive control rotor flux estimator was designed, utilizing both voltage-model and current-model rotor fluxes, and the adaptation mechanism was optimized using the ant colony optimization algorithm.The estimated rotor speed was derived from the adaptive rotor flux estimator.The MATLAB /Simulink toolbox was employed to simulate this system, and all control algorithms were implemented on a TI DSP 6713 and F2812 microcontrol card to validate the proposed approach.Both simulation and experimental results confirmed the effectiveness of the method.

Sensors and MaterialsVol. 37(3)
National Chin-Yi University of Technology (TW)
National Science and Technology Council
Affordable and clean energy
Openalex Percentile: Top 95%
Sensorless Control of Electric Motors
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Speed Estimation Rotor-flux-vector-controlled Induction Motor Drive Based on Adaptive Flux Estimator — Wei‐Chen Lin, Yung-Chang Luo, et al. · Sensors and Materials (2025) | TGRS Research Map | TGRS