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.
Authors
- Wei‐Chen Lin (ORCID: https://orcid.org/0000-0002-8142-538X)
- Yung-Chang Luo (ORCID: https://orcid.org/0000-0001-5055-3699)
- Wen‐Cheng Pu
- Hao-You Huang
Institutions
- National Chin-Yi University of Technology (TW)
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
- 0.00
Funders
- National Science and Technology Council