차량 구동 모터의 모델 기반 센서 고장 검출 및 분리

Abstract

This paper proposes a sensor fault detection and isolation (FDI) algorithm for the interior permanent magnet synchronous motor (IPMSM) through the model-based approach. The faults of phase current sensor are detected by using parity equation which is derived from the mathematical model for the IPMSM. The proposed FDI algorithm considers residuals, which are determined by differences between measurements coming from sensors and models. The time varying adaptive thresholds of the residuals are used to consider the modeling errors during the transient maneuvers. The types of current sensor faults are introduced before simulation. For getting the simulation results of the developed FDI algorithm, the IPMSM model and controller are developed by using MATLAB/Simulink environment. Simulation results show the validity and performance of the proposed algorithm.