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Journal of Energy : Energija, Vol. 74. No. 2, 2025.

Original scientific paper

https://doi.org/10.37798/2025742714

Next-Generation SiC and GaN Inverters with Advanced Real-Time Adaptive Control

Awais Khan orcid id orcid.org/0000-0003-4914-5959 ; Department of Energy and Transportation, Beijing Institute of Technology, Zhuhai 519088, China
Wenshou Wang ; Department of Energy and Transportation, Beijing Institute of Technology, Zhuhai 519088, China
Arshad Rauf ; College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, Heilongjiang 150001, China
Muhammad Ilyas ; College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, Heilongjiang 150001, China
Bo Zhang ; College of Mechatronics and Control Engineering, Shenzhen University and Shenzhen Intelligent Operation Laboratory, Research Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen 518060, China

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Abstract

Silicon Carbide (SiC) and Gallium Nitride (GaN) inverters deliver exceptional efficiency and high-speed switching, making them ideal for applications in electric vehicles, renewable energy systems, and aerospace. However, conventional control techniques, such as Pulse Width Modulation (PWM) and Proportional-Integral-Derivative (PID) controllers, often fail to address the dynamic thermal and electrical characteristics of these wide-bandgap devices. This paper proposes an advanced real-time adaptive control strategy tailored for SiC and GaN inverters, optimizing efficiency, stability, and fault tolerance through dynamic parameter tuning. Comprehensive simulations demonstrate that the proposed approach achieves a significantly reduced Integral of Time-weighted Absolute Error (ITAE) of 8449.83, compared to 14178.29 for PD and 14177.47 for P controllers, with faster response times and minimal overshoot. By mitigating switching losses and electromagnetic interference, this strategy enhances performance in high-frequency operations. This work lays a robust foundation for next-generation inverter designs, with future research focused on experimental validation and integration of hybrid control architectures.

Keywords

Inverter technology; SiC; GaN; Advanced control strategies; Adaptive control

Hrčak ID:

341302

URI

https://hrcak.srce.hr/341302

Publication date:

1.6.2025.

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