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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Veröffentlicht in:Mathematical problems in engineering Jg. 2014; H. 1
Hauptverfasser: Luo, Yung-Chang, Ke, Zhi-Sheng, Kuo, Ying-Piao
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Hindawi Publishing Corporation 01.01.2014
John Wiley & Sons, Inc
Schlagworte:
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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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
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ISSN:1024-123X
1563-5147
DOI:10.1155/2014/861462