【摘要】 针对传统粒子群优化(PSO)算法在求解三电平逆变器选择谐波消除脉宽调制(SHEPWM)技术的非线性超越方程组时存在局部收敛、收敛速度慢且计算精度不高的问题,提出了一种基于入侵杂草优化和粒子群优化混合算法(IWO-PSO)的SHEPWM方程组计算方法,该混合算法结合IWO算法的广度和PSO算法的深度,通过合理选择算法参数,有效地解决了计算结果局部收敛和收敛速度慢的问题,并以三电平中点箝位型(NPC)逆变器为例,利用Matlab/Simulink进行仿真试验。结果表明,IWO-PSO算法可行、有效,实现了三电平NPC逆变器在线SHEPWM控制。更多还原

【Abstract】 Aiming at the problems of slow speed,local convergence and low precision of the traditional particle swarm optimization algorithm(PSO)for solving the nonlinear transcendental equations of three level inverter selective harmonic elimination PWM(SHEPWM)technique,this article proposes a calculation method of SHEPWM equations which is based on the invasive weed optimization hybrid algorithm and particle swarm optimization(IWO-PSO).The hybrid algorithm combines the breadth of IWO algorithm and the depth of PSO algorithm.The problems of local convergence and slow speed are effectively solved by choosing the algorithm parameters reasonably.Taking three-level neutral type clamp(NPC)inverter for an example,simulation test is implemented by Matlab/Simulink.The results show that the IWO-PSO algorithm is feasible and effective,which achieves online SHEPWM control of three-level NPC inverter.更多还原