Title :
Optimal Design of Dual Stator-winding Induction Generator System Based on Particle Swarm Algorithm
Author :
Lingshun, Liu ; Guorong, Zhao
Author_Institution :
Dept. of control Eng., Naval Aeronaut. & Astronaut. Univ., Yantai, China
Abstract :
In this paper, the electromagnetic design of dual stator-winding induction generator with 28V DC and 642A output under speed ratio of 1:2.5 based on particle swarm optimal algorithm (PSO) is presented. When the output voltage of power winding is very low and the output current very high, the large winding turns ratio between the control winding and power winding is proposed to reduce the current of control winding. The excited capacitor of power winding and filter inductor of control winding can be canceled. Design results can reduce the current of control winding and the volume of system obviously.
Keywords :
asynchronous generators; design engineering; particle swarm optimisation; power capacitors; power filters; stators; PSO; dual stator-winding induction generator system; excited capacitor; filter inductor; optimal design; particle swarm algorithm; power winding; Algorithm design and analysis; Control systems; Electromagnetic induction; Induction generators; Inductors; Particle swarm optimization; Power capacitors; Power filters; Stators; Voltage control; Dual stator winding induction generator; Low-voltage and large-current output; Optimal design; Particle swarm;
Conference_Titel :
Information and Computing (ICIC), 2010 Third International Conference on
Conference_Location :
Wuxi, Jiang Su
Print_ISBN :
978-1-4244-7081-5
Electronic_ISBN :
978-1-4244-7082-2
DOI :
10.1109/ICIC.2010.228
