Sensorless Rotor-Field Oriented Controlled Induction Motor Drive with Particle Swarm Optimization Algorithm Speed Controller Design Strategy

A sensorless rotor-field oriented control induction motor drive with particle swarm optimization algorithm speed controller design strategy is presented. First, the rotor-field oriented control scheme of induction motor is established. Then, the current-and-voltage serial-model rotor-flux estimator...

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Published in:Mathematical problems in engineering Vol. 2014; no. 1
Main Authors: Luo, Yung-Chang, Ke, Zhi-Sheng, Kuo, Ying-Piao
Format: Journal Article
Language:English
Published: New York Hindawi Publishing Corporation 01.01.2014
John Wiley & Sons, Inc
Subjects:
Adaptive control
Adaptive systems
Algorithms
Control systems design
Controllers
Coordinate transformations
Design engineering
Design optimization
Estimators
Induction motors
Model reference adaptive control
Motion control
Motors
On-line systems
Particle swarm optimization
Rotors
Strategy
Swarm intelligence
Synchronous
ISSN:1024-123X, 1563-5147
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Abstract A sensorless rotor-field oriented control induction motor drive with particle swarm optimization algorithm speed controller design strategy is presented. First, the rotor-field oriented control scheme of induction motor is established. Then, the current-and-voltage serial-model rotor-flux estimator is developed to identify synchronous speed for coordinate transformation. Third, the rotor-shaft speed on-line estimation is established applying the model reference adaptive system method based on estimated rotor-flux. Fourth, the speed controller of sensorless induction motor drive is designed using particle swarm optimization algorithm. Simulation and experimental results confirm the effectiveness of the proposed approach.
AbstractList A sensorless rotor-field oriented control induction motor drive with particle swarm optimization algorithm speed controller design strategy is presented. First, the rotor-field oriented control scheme of induction motor is established. Then, the current-and-voltage serial-model rotor-flux estimator is developed to identify synchronous speed for coordinate transformation. Third, the rotor-shaft speed on-line estimation is established applying the model reference adaptive system method based on estimated rotor-flux. Fourth, the speed controller of sensorless induction motor drive is designed using particle swarm optimization algorithm. Simulation and experimental results confirm the effectiveness of the proposed approach.
Author Kuo, Ying-Piao
Ke, Zhi-Sheng
Luo, Yung-Chang
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  givenname: Ying-Piao
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10.1016/j.camwa.2012.03.064
10.1109/28.158829
10.1109/ICEC.1998.699146
10.1109/28.195904
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Copyright Copyright © 2014 Yung-Chang Luo et al.
Copyright © 2014 Yung-Chang Luo et al. Yung-Chang Luo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright_xml – notice: Copyright © 2014 Yung-Chang Luo et al.
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Snippet A sensorless rotor-field oriented control induction motor drive with particle swarm optimization algorithm speed controller design strategy is presented....
A sensorless rotor‐field oriented control induction motor drive with particle swarm optimization algorithm speed controller design strategy is presented....
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SubjectTerms Adaptive control
Adaptive systems
Algorithms
Control systems design
Controllers
Coordinate transformations
Design engineering
Design optimization
Estimators
Induction motors
Model reference adaptive control
Motion control
Motors
On-line systems
Particle swarm optimization
Rotors
Strategy
Swarm intelligence
Synchronous
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Title Sensorless Rotor-Field Oriented Controlled Induction Motor Drive with Particle Swarm Optimization Algorithm Speed Controller Design Strategy
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