Advanced Control Systems and Fault Diagnosis Mechanisms for Performance Enhancement and Reliability Improvement in Electrical Circuits and Power Electronic Systems Under Dynamic Operating Conditions

Abstract

The evolution of modern electrical circuits and power electronic systems has led to increased complexity in control mechanisms and fault diagnostic requirements. With the widespread integration of renewable energy sources, electric vehicles, and automation technologies, advanced control and monitoring strategies are crucial for ensuring high efficiency, stability, and reliability. This paper provides a comprehensive analysis of advanced control systems and fault diagnosis methodologies applied to electrical and power electronic systems. It discusses model-based and data-driven control approaches, intelligent fault detection algorithms, and the role of artificial intelligence (AI) in predictive maintenance. Furthermore, it explores the challenges and future scope of integrating adaptive, self-learning controllers capable of real-time fault compensation and system optimization.

KEYWORDS: Advanced control systems, fault diagnosis, power electronics, model predictive control, artificial intelligence, adaptive control, predictive maintenance, renewable energy integration, reliability, automation.