一种基于离散观测器的DC/DC变换器参数在线辨识方法

针对功率变换器参数在线辨识问题,提出了一种新的基于离散观测器的DC/DC变换器主电路参数非侵入式在线辨识方法。基于Lyapunov函数提出了一种用于离散系统参数辨识的观测器算法,进一步引入模型噪声估计使得观测器能够适用于经低速采样离散化的混杂系统的参数辨识。为将提出的观测器应用到DC/DC变换器参数辨识中,以Buck变换器为例给出了DC/DC变换器离散模型的建立方法。在此基础上,设计了用于Buck变换器主电路参数辨识的离散观测器。观测器根据电感电流、输出电压以及控制器输出即可对滤波电感及其等效串联电阻、滤波电容及其等效串联电阻、负载等效电阻等多个参数进行在线辨识。仿真和实验结果验证了该方法的有效性。

Online Parameter Estimation of DC/DC Converters Based on Discrete-time Observer

A novel online parameter estimation approach for DC/DC converters is presented in this paper. The approach is realized using the proposed discrete-time observer algorithm based on Lyapunov functions. Introducing the model noise estimation makes the observer suitable for low sampling rate applications. To apply the proposed algorithm into DC/DC converter parameter estimations, a discrete-time model for converters is required. The modeling approach is introduced taking the Buck converter as an example, and the detailed observer design for Buck converters is also given. Based on the measured output voltage, inductor current and controller commands, the observer provides an estimate of the Buck converter circuit parameters. Simulation and experiment results are presented to validate the effectiveness of the proposed estimation method.