目前,数字孪生技术已经具备对给定物理系统进行测试和诊断的能力,可以完成对给定物理系统的预测和健康管理.该技术依靠给定物理系统实时更新的数据建立起相应的数字模型,并将数字模型作为与物理系统进行比较的并行参考,通过监测确定物理系统的运行状况.然而在电力电子功率变换器领域,使用此项技术进行控制器监测的研究相对较少,针对此问题,借助概率数字孪生和广义多项式混沌理论,提出一种用于Buck变换器监测的嵌入式概率数字孪生控制器.通过实验验证当功率变换器的占空比和元器件参数发生改变的情况下,所提方案的有效性和可行性.
Currently,digital twin technology has the ability to test and diagnose a given physical system,enabling prediction and health management of the given physical system.This technology relies on the real-time updated data of a given physical system to establish a corresponding digital model,and uses the digital model as a parallel reference for comparison with the physical system to determine the operational status of the physical system through monitoring.However,in the field of power electronic power converter,the research on controller monitoring using this technology is relatively few.An embedded probabilistic digital twin controller for monitoring Buck converter were proposed by using probabilistic digital twin and generalized polynomial chaos theory.Effectiveness and feasibility of the proposed scheme were verified through experiments when changing the duty cycle and component parameters of the power converter.