基于频域建模与遗传算法的电力电子电路参数辨识方法

研究电力电子电路参数辨识技术,提出了一种基于频域特性分析与遗传算法参数求解的电力电子电路参数辨识方法。以Buck电路为例,建立了电路频域模型,选择电感输入电压、电路输出电压作为监测信号,利用快速傅里叶变换对监测信号进行频域分析,得到电路模型频率响应特性;依据电路频域模型及频响特性,选择适当的频率点并利用遗传算法对电路参数进行辨识。实验结果表明,新方法能够有效实现电力电子电路参数辨识。

Parameter Identification of Power Electronic Circuit Based on Transfer Function Model and Genetic Algorithm

Parametric identification method of power electronic circuits is studied in this paper.A new method based on transfer function model in frequency domain(TFMFD) and genetic algorithm(GA) for the parameter identification of power electronic circuits is proposed.Taking the Buck converter circuit as an example,the parameter identification of power electronic circuits is achieved.Firstly,the Buck converter’s transfer function model in frequency domain is established.Secondly,the output voltage and the inductor input voltage are selected as monitoring signals.And the monitoring signals are analyzed by FFT in frequency domain,and the frequency-domain characteristics of the transfer function model are obtained.Lastly,by selecting appropriate frequency points in transfer function model,the frequency response characteristics and GA method are used to estimate the circuit’s parameter.The experimental results show that the new method can be effectively applied in the parameter identification of power electronic circuits.