AI-Driven Control Strategies for Power Electronics Converters

Artificial intelligence (AI) in converter control techniques has transformed power electronics. The integration improved power electronic system adaptability, performance, and efficiency. This research examines power electronics converter AI-driven control techniques in detail. When dealing with complex and nonlinear systems, conventional power converter control approaches like PID controllers are limited. Neural networks, fuzzy logic, and machine learning algorithms offer promising solutions to these problems. AI-driven control approaches are used to inverters, rectifiers, and DC-DC converters in the research. The benefits of AI include greater robustness to parameter fluctuations, harmonic distortion reduction, and transient response. Artificial intelligence allows adaptive and predictive control, enabling intelligent and self-governing power electronic systems. These include large datasets, complex training, and real-time computations. Overall, power electronics converters with AI-powered control techniques affect their design and operation. Power electronics and artificial intelligence offer new opportunity to construct smart, adaptive, and high-performing energy conversion systems. This research is essential for researchers, engineers, and practitioners interested in the latest advances in artificial intelligence and power electronics.