Switching Angles Optimization of Single Phase PWM DC-AC Inverter by Particle Swarm Optimizations
Author(s) -
Takuya Shindo,
Kenya Jin’no
Publication year - 2014
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2014.p0435
Subject(s) - pulse width modulation , inverter , total harmonic distortion , particle swarm optimization , computer science , control theory (sociology) , harmonic , three phase , electronic engineering , algorithm , voltage , physics , engineering , electrical engineering , control (management) , quantum mechanics , artificial intelligence
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.
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