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

Yung-Chang Luo | Zendy; Zhi-Sheng Ke | Zendy; YingPiao Kuo | Zendy

Open Access

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

Author(s) -

Yung-Chang Luo,

Zhi-Sheng Ke,

YingPiao Kuo

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/861462

Subject(s) - control theory (sociology) , particle swarm optimization , rotor (electric) , induction motor , controller (irrigation) , vector control , estimator , control engineering , engineering , electronic speed control , wound rotor motor , computer science , voltage , algorithm , mathematics , control (management) , artificial intelligence , mechanical engineering , agronomy , statistics , electrical engineering , biology

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.

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