“…1 , the DC-DC converter plays a vital role in renewable energy systems, which can provide feasible voltage through the stepping up/down method for various loads with different voltage specifications. Considering the crucial role of DC-DC converters in power electronics applications, the control and monitoring of the status of DC-DC converters is of great importance 2 , and is also challenging due to intrinsic nonlinear characteristics 3 , therefore, the system state should be estimated online 4 . Various research studies have been conducted to address the nonlinear issues of nonlinear circuits, for example, fuzzy observer-based state estimation based on a slack variables technique 5 and a switching multi-instant fuzzy observer to obtain less conservative results 6 .…”
Section: Introductionmentioning
confidence: 99%
“…Various research studies have been conducted to address the nonlinear issues of nonlinear circuits, for example, fuzzy observer-based state estimation based on a slack variables technique 5 and a switching multi-instant fuzzy observer to obtain less conservative results 6 . A recent study enlarged the application scope of fuzzy state estimation in nonlinear circuits with better estimation performance 4 . Fig.…”
The monitoring and control of DC-DC converters have become key issues since DC-DC converters are gradually playing increasingly crucial roles in power electronics applications such as electric vehicles and renewable energy systems. As an emerging and transforming technology, the digital twin, which is a dynamic virtual replica of a physical system, can potentially provide solutions for the monitoring and control of DC-DC converters. This work discusses the design and implementation of the digital twin DC-DC converter in detail. The key features of the physical and twin systems are outlined, and the control architecture is provided. To verify the effectiveness of the proposed digital twin method, four possible cases that may occur during the practical control scenarios of DC-DC converter applications are discussed. Simulations and experimental verification are conducted, showing that the digital twin can dynamically track the physical DC-DC converter, detect the failure of the physical controller and replace it in real time.
“…1 , the DC-DC converter plays a vital role in renewable energy systems, which can provide feasible voltage through the stepping up/down method for various loads with different voltage specifications. Considering the crucial role of DC-DC converters in power electronics applications, the control and monitoring of the status of DC-DC converters is of great importance 2 , and is also challenging due to intrinsic nonlinear characteristics 3 , therefore, the system state should be estimated online 4 . Various research studies have been conducted to address the nonlinear issues of nonlinear circuits, for example, fuzzy observer-based state estimation based on a slack variables technique 5 and a switching multi-instant fuzzy observer to obtain less conservative results 6 .…”
Section: Introductionmentioning
confidence: 99%
“…Various research studies have been conducted to address the nonlinear issues of nonlinear circuits, for example, fuzzy observer-based state estimation based on a slack variables technique 5 and a switching multi-instant fuzzy observer to obtain less conservative results 6 . A recent study enlarged the application scope of fuzzy state estimation in nonlinear circuits with better estimation performance 4 . Fig.…”
The monitoring and control of DC-DC converters have become key issues since DC-DC converters are gradually playing increasingly crucial roles in power electronics applications such as electric vehicles and renewable energy systems. As an emerging and transforming technology, the digital twin, which is a dynamic virtual replica of a physical system, can potentially provide solutions for the monitoring and control of DC-DC converters. This work discusses the design and implementation of the digital twin DC-DC converter in detail. The key features of the physical and twin systems are outlined, and the control architecture is provided. To verify the effectiveness of the proposed digital twin method, four possible cases that may occur during the practical control scenarios of DC-DC converter applications are discussed. Simulations and experimental verification are conducted, showing that the digital twin can dynamically track the physical DC-DC converter, detect the failure of the physical controller and replace it in real time.
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