Online estimation of induction motor parameters using a modified particle swarm optimization technique

2013 ◽  
Author(s):  
Elham Mohammadalipour Tofighi ◽  
Amin Mahdizadeh ◽  
Mohammad Reza Feyzi
Keyword(s):  
Particle Swarm Optimization ◽  
Induction Motor ◽  
Optimization Technique ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Online Estimation ◽  
Modified Particle Swarm Optimization ◽  
Particle Swarm Optimization Technique

scholarly journals Direct Torque Control of Induction Motor by Using Particle Swarm Optimization Technique

2019 ◽  
pp. 560-565
Author(s):  
Mohit Kumar Yadav ◽  
Somnath Sharma ◽  
Sumati Srivastava
Keyword(s):  
Particle Swarm Optimization ◽  
Induction Motor ◽  
Optimization Technique ◽  
Direct Torque Control ◽  
Particle Swarm ◽  
Torque Control ◽  
Swarm Optimization ◽  
Speed Controller ◽  
Particle Swarm Optimization Technique ◽  
Improved Performance

This paper is based on an efficient and reliable evolutionary approach of particle swarm optimization (PSO) using direct torque control (DTC) of induction motor. In order to resolve the problem of parameter variation the PI controllers are generally used in industrial plants because it is uncomplicated and robust. However, there is a problem in changing PI parameters. So, the engineers are looking for automatic tuning procedures. In traditional direct torque-controlled induction motor drive, there is generally undesired torque and ripple in form of flux. So Tuning PI parameters (Kp, Ki) are critical to DTC system to improve the performance of the system. In this paper, particle swarm optimization (PSO) is planned to correct the parameters (Kp, Ki) of the speed controller in order to get improved performance of the system and also responsible to run the machine at base speed.

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