关键词: 人工蜂群算法, 遗传学习算法, 开关角, 级联多电平逆变器, 特定谐波消除脉冲宽度调制

Abstract: Aiming at the specific harmonic elimination pulse width modulation (SHEPWM) problem of multi-level inverters,a genetic learning(GL) algorithm was introduced to improve the artificial bee colony(ABC) algorithm,so as to avoid the traditional artificial bee colony algorithm easily falling into local optimum,problems such as slow operation iteration speed and poor optimization accuracy.The improved ABC-GL algorithm achieved the purpose of optimizing the switching angle.The simulation results show that the switching angle value of the improved ABC-GL algorithm is correct and effective,eliminating specific harmonic components and improving the calculation speed and accuracy.

Key words: artificial bee colony(ABC) algorithm, genetic learning(GL) algorithm, switching angle, cascaded multilevel inverter, selected harmonic elimination pulse width modulation(SHEPWM)