基于改进飞蛾火焰算法的单相逆变器参数辨识

提出一种基于改进飞蛾火焰优化算法的逆变器电路参数辨识方法。针对飞蛾火焰算法的不足,改进了飞蛾火焰优化算法。前期使飞蛾向最优个体位置直线移动,加快了算法收敛速度;后期利用Levy飞行增强种群多样性,提高了算法全局搜索能力。参数辨识结果表明,改进飞蛾火焰算法辨识得到的参数值与实际值非常接近,误差很小。改进飞蛾火焰算法能够有效实现逆变器电路参数的精确辨识,进而可应用于参数型故障诊断、运行状态监测和预知维护。

Parameter Identification of Single-Phase Inverter Based on Improved Moth Flame Optimization

Based on the improved moth flame optimization algorithm, a parameter identification method of inverter circuit is proposed. Aiming at the shortcomings of the moth flame algorithm,at the early stage, the improved algorithm makes the moth move to the optimal position in a straight line and speeds up the convergence speed of the algorithm. At the later stage, the Levy flight is used to enhance the diversity of the population and improve the global search ability of the algorithm. The results of parameter identification show that the parameters identified by the improved algorithm are very close to the actual values, and the error is very small. The improved moth flame algorithm can effectively realize the accurate identification of inverter circuit parameters, and can be used in parameter fault diagnosis, operation status monitoring and predictive maintenance.