Simulation based optimal design and sensitivity assessment of a vector-controlled induction motor drive using a multi-modal optimization algorithm

2015 ◽  
Author(s):  
A. Y. Goharrizi ◽  
S. Filizadeh ◽  
A. M. Gole ◽  
R. Singh
Keyword(s):  
Optimal Design ◽  
Induction Motor ◽  
Optimization Algorithm ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Sensitivity Assessment ◽  
Simulation Based

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

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Yung-Chang Luo ◽  
Zhi-Sheng Ke ◽  
Ying-Piao Kuo
Keyword(s):  
Particle Swarm Optimization ◽  
Induction Motor ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Controller Design ◽  
Particle Swarm ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Swarm Optimization ◽  
Speed Controller

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.

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

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.

scholarly journals Implementation of PWM AC chopper controller for capacitor run induction motor drive via bacterial foraging optimization algorithm

2020 ◽  
Vol 9 (3) ◽  
pp. 169
Author(s):  
Gobi Mohan Sivasubramanian ◽  
Murali Narayanamurthy
Keyword(s):  
Induction Motor ◽  
Optimization Algorithm ◽  
Optimization Technique ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Bacterial Foraging Optimization ◽  
Loop Control ◽  
Pulse Width Modulated ◽  
Field Programmable ◽  
Functional Point

<p>This paper focuses on design of closed-loop control for pulse width modulated AC chopper controlled capacitor run induction motor drive engaging enriched optimization algorithm based on foraging of bacteria. Capacitor run induction motor is a non-linear device and its parameter varies under different functional point of the system. A linearized increment model for PWM AC chopper is illustrated for a particular functional point of the drive. The conventional method does not provide acceptable performance under different load conditions. Bacteria foraging optimization technique categorizes accurate control parameters for the superlative dynamic response under unit step load variations. Field Programmable Gate Array is implemented practically for a particular functional point of the drive to exhibit accurate performance. Experimental and simulated results are obtained to authenticate the effectiveness of the optimized controller.</p><p> </p>

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