Sensor fault detection for a repetitive controller based D-FACT device

This paper proposes a sensor fault detection system for a two-level DVR, controlled by a repetitive controller. The system compensates key voltage-quality disturbances namely; voltage sags, harmonic voltages, voltage imbalances, and control current during downstream fault, additionally detect any fault in sensor measurements as well. All the control actions of controller depend on the availability and quality of sensor measurement. However, measurements are inevitably subjected to faults caused by sensor failure, broken or bad connections, bad communication, or malfunction of some hardware or software. Therefore an auto-associative neural network based system is used here to detect any fault in sensor measurement. MATLAB/SIMULINK is used to carry out all modeling aspects of test system.