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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Vydané v:Mathematical problems in engineering Ročník 2014; číslo 1
Hlavní autori: Luo, Yung-Chang, Ke, Zhi-Sheng, Kuo, Ying-Piao
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Hindawi Publishing Corporation 01.01.2014
John Wiley & Sons, Inc
Predmet:
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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Cites_doi 10.1109/ICNN.1995.488968
10.1109/MHS.1995.494215
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.
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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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