Fast Open-Switch Fault Diagnosis Based on Model Reference Adaptive Theory Applied to Inverter System

Abstract

This paper designs an algorithm for fast fault diagnosis for inverters, which utilizes the theoretical idea of model reference adaptive systems. Firstly, the inverter system model is established, and the estimation of rotor angle is obtained according to the model reference adaptive theory. Then, the estimation and the actual angle are used to obtain the residual error as a fault diagnosis variable, which is beneficial to improve the rapidity of the algorithm. In addition, in order to increase the accuracy of fault location, three-phase normalized currents are combined to complete location of specific fault switch tubes. The proposed algorithm does not need to add additional hardware facilities, and is real-time, fast, and simple. Results are shown to validate the proposed algorithm.