DocumentCode :
243114
Title :
Implementation of AC voltage controller-fed induction motor starting through particle swarm optimization
Author :
Nafeesa, K. ; George, Saly
Author_Institution :
Dept. of Electr. & Electron. Eng., MES Coll. of Eng. Kuttippuram, Kuttippuram, India
fYear :
2014
fDate :
22-25 Oct. 2014
Firstpage :
1
Lastpage :
6
Abstract :
In this paper optimum firing angle of the ac voltage controller fed-induction motor is obtained through particle swarm optimization technique. Optimum firing angle is taken as the firing angle at which it gives zero negative torque pulsations with minimum acceleration time. Optimum firing angle is first obtained through graphical method and then verified through Particle Swarm Optimization algorithm. Five machines grouped into two, with each group consisting of equally rated machine with different motor parameters are used for the study. Experimental evaluation is done using DSP TMS320F2812 as the controller. Results show that optimum firing angle obtained through graphical method and PSO is matching and there is a good agreement with the simulation and hardware results. Results also show that, though the machines have same rating, their optimum firing angles are different due to the difference in motor parameters.
Keywords :
control engineering computing; digital signal processing chips; electric machine analysis computing; induction motors; machine control; particle swarm optimisation; starting; torque control; voltage regulators; AC voltage controller-fed induction motor starting; DSP TMS320F2812; graphical method; minimum acceleration time; optimum firing angle; particle swarm optimization technique; zero negative torque pulsations; Acceleration; Artificial intelligence; Induction motors; Stators; Thyristors; Torque; Voltage control; AC voltage controller; DSP F2812; Induction motor starting; Optimum firing angle; PSO;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2014 - 2014 IEEE Region 10 Conference
Conference_Location :
Bangkok
ISSN :
2159-3442
Print_ISBN :
978-1-4799-4076-9
Type :
conf
DOI :
10.1109/TENCON.2014.7022384
Filename :
7022384
Link To Document :
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