基于量子遗传算法的NPC三电平调制策略研究

Research on NPC Three-level Modulation Strategy Based on Quantum Genetic Algorithm

与正弦脉宽调制(SPWM)和空间矢量脉宽调制(SVPWM)相比,特定谐波消除脉宽调制(SHEPWM)具有开关频率低、输出波形质量高等优点。然而其开关角求解是一个难点。对此采用量子遗传算法(QGA)求解非线性方程组得到开关角,相比于传统算法,它具有更快的收敛性。以消除中点箝位(NPC)三电平变换器4阶次谐波为例,仿真分析了总谐波失真(THD),并通过实验对消谐效果进行验证。仿真和实验结果验证了该方法的有效性。

Compared with sinusoidal pulse width modulation （SPWM） and space vector pulse width modulation （SVPWM） methods, selective harmonic elimination pulse width modulation（SHEPWM） has many advantages, such as low switching frequency and high quality of output voltage.However, switching angle is a difficulty problem to solve.Switching angles can be received with the method of quantum genetic algorithm（QGA） by solving nonlinear equations.Compared with traditional algorithms,QGA has faster convergence.Take the elimination of fourth-order harmonics in neutral point ctamped （NPC） three-level converter as example, total harmonic distortion （THD） is analyzed by simulation, and harmonic elimination effect is verified by experiment.Simulation and experimental results verify the validity of the method.