DocumentCode :
2005614
Title :
Switching angles optimization of single phase PWM DC-AC inverter by particle swarm optimizations
Author :
Shindo, Takatoshi ; Jin´no, Kenya
Author_Institution :
Grad. Sch. of Electr. Eng., Nippon Inst. of Technol., Saitama, Japan
fYear :
2012
fDate :
20-24 Nov. 2012
Firstpage :
65
Lastpage :
70
Abstract :
We consider a design procedure of a single phase PWM DC-AC inverter by using a particle swarm optimization algorithm. For the single phase PWM DC-AC inverter, the switching operation is the most important component. The PSO algorithm can optimize the switching angle effectively. The design procedure of the switching angle evaluates the total harmonic distortion and the effective value of the output. The proposed evaluation function restricts the scope to evaluate of the harmonic components. Based on our numerical simulation results, we confirm that the performance of proposed design procedure is improved comparing with the conventional sinusoidal PWM procedure. Also, we develop an implementation circuit of our PWM DC-AC inverter. By using the implementation circuit, we confirm the results of implementation circuits are consistent with the results of numerical simulations. These results indicate that the proposed algorithm exhibits better performance than the conventional sinusoidal PWM DC-AC inverter.
Keywords :
DC-AC power convertors; PWM invertors; circuit optimisation; harmonic distortion; numerical analysis; particle swarm optimisation; PSO algorithm; evaluation function; harmonic components; implementation circuit; numerical simulation; particle swarm optimizations; single phase PWM DC-AC inverter design; sinusoidal PWM DC-AC inverter; switching angle optimization; total harmonic distortion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on
Conference_Location :
Kobe
Print_ISBN :
978-1-4673-2742-8
Type :
conf
DOI :
10.1109/SCIS-ISIS.2012.6505223
Filename :
6505223
Link To Document :
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