Estimation of Induction Motor Equivalent Circuit Parameters from Manufacturer’s Datasheet by Particle Swarm Optimization Algorithm for Variable Frequency Drives

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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Online estimation and analysis of equivalent circuit parameters of three phase induction motor using particle swarm optimization

2016 IEEE 7th Power India International Conference (PIICON) ◽

10.1109/poweri.2016.8077256 ◽

2016 ◽

Cited By ~ 7

Author(s):

Diptarshi Bhowmick ◽

Mithun Manna ◽

Suparna Kar Chowdhury

Keyword(s):

Particle Swarm Optimization ◽

Equivalent Circuit ◽

Induction Motor ◽

Particle Swarm ◽

Swarm Optimization ◽

Online Estimation ◽

Three Phase ◽

Equivalent Circuit Parameters

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Sensorless rotor field direct orientation controlled induction motor drive with particle swarm optimization algorithm flux observer

Journal of Low Frequency Noise Vibration and Active Control ◽

10.1177/1461348418824942 ◽

2019 ◽

Vol 38 (2) ◽

pp. 692-705

Author(s):

Yung-Chang Luo ◽

Wei-An Huang

Keyword(s):

Particle Swarm Optimization ◽

Induction Motor ◽

Optimization Algorithm ◽

Particle Swarm Optimization Algorithm ◽

Particle Swarm ◽

Motor Drive ◽

Induction Motor Drive ◽

Swarm Optimization ◽

Flux Observer ◽

Rotor Flux

A speed estimation scheme based on the particle swarm optimization algorithm flux observer is proposed for a sensorless rotor field direct orientation controlled induction motor drive. The stator current and rotor flux was used to establish both the rotor field direct orientation controlled induction motor drive and the rotor-flux observer. The estimated synchronous angle position was acquired from a current-and-voltage parallel-model rotor estimator for implementation of the exact coordinate transformation to achieve a perfect rotor field direct orientation controlled induction motor drive. The rotor-flux observer was designed using the Lyapunov stability theory, and the estimated rotor speed was derived from the developed the rotor-flux estimator; this estimated speed was unaffected by the slip speed. The gain matrix of this flux observer was obtained using the particle swarm optimization algorithm because it is simple, achieves rapid convergence, and is suitable for a variety of conditions. This system was simulated using the MATLAB/Simulink® toolbox, and all the control algorithms were realized by a TI DSP 6713-and-F2812 control card. Both simulation and experimental results confirmed the effectiveness of the proposed approach.

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