FAILURE IDENTIFICATION AND ISOLATION OF DC-DC BOOST CONVERTER USING A SLIDING MODE CONTROLLER AND ADAPTIVE THRESHOLD

DC-DC converters have become essential components in various industrial applications, including aerospace, electric vehicles, and renewable energy systems. However, ensuring enhanced reliability remains a critical challenge for these converters. Fault diagnosis and reliability analysis are crucial for preventing damage and minimizing maintenance costs. This study focuses on investigating the operational behavior of DC-DC boost converters under normal and faulty conditions, precisely targeting open-circuit and short-circuit faults in converter switches. To achieve this, an adaptive threshold approach is introduced for effective fault detection. The adaptive threshold value is calculated based on measured voltage and current signals, along with their corresponding reference signals from the primary control system. The research is structured into two parts: the first part addresses sliding mode control aspects, ensuring regulated output voltages, output currents, and capacitor voltage for sustained converter operation. The second part investigates fault diagnosis, analyzing the impact of defective DC-DC converters on the overall electrical system functionality. The proposed algorithm's performance is evaluated and validated through simulations in MATLAB/Simulink environment. Furthermore, based on the results’ comparison, the proposed approach of the sliding mode controller and adaptive threshold contributes to enhancing the reliability of DC-DC converters and enables effective fault detection and isolation. © 2024 by the Authors.