System identification of power converters based on a black-box approach
System identification of power converters based on a black-box approach
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基于黑盒方法的功率变换器系统辨识
DOI：
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发表时间：
1998
期刊：
影响因子：
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通讯作者：
Joong
中科院分区：
文献类型：
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作者：
Ju;B. Cho;H. Vanlandingham;H. Mok;Joong
本文讨论了一个高度非线性电力电子系统的无模型系统识别的主题，无论是通过时域仿真或硬件测量的数据。这种基于黑盒方法的系统识别方法使用从众所周知的设计工具（如PSpice和MATLAB）生成的数据，通常更简单，并且与转换器类型无关。作为电力电子系统中未知对象辨识的一个应用，提出了一种构造性的黑箱方法，用于生成谐振变换器、脉宽调制（PWM）变换器和零电压开关（ZVS）PWM变换器等一类变换器的离散时间小信号线性等效模型。由此产生的小信号模型描述的转换器作为一个线性时不变系统，和知识的线性系统可以被应用到开关转换器的构造反馈控制器。辨识结果与解析模型和实验数据进行了比较。
This paper addresses the topic of a model-free system identification of highly nonlinear power electronics systems from the data either through a time-domain simulation or a hardware measurement. This system identification method based on the black-box approach using the data generated from well-known design tools such as PSpice and MATLAB is generally simpler and independent of type of converter. As an application of identifying an unknown plant in power electronics systems, a constructive black-box approach is presented which aims at generating discrete-time small-signal linear equivalent models for a general class of converters, which includes resonant converters, pulsewidth modulation (PWM) converters and zero-voltage-switched (ZVS) PWM converters. The resulting small-signal model describes the converter as a linear time-invariant system, and the knowledge of the identified linear system can be applied to the switching converters for constructing feedback controllers. The identification results are compared with the analytical model and experimental data.