Enhanced Fault-Tolerant Control of Interior PMSMs Based on an Adaptive EKF for EV Traction Applications

Abstract

This paper proposes an enhanced sensor fault-tolerant control (FTC) scheme of an interior permanent magnet synchronous motor (IPMSM) drive for the electric vehicle (EV) traction applications. For a safe and continuous operation of the modern EV, the drive has to acquire robustness features for position sensor failures. Hence, the proposed FTC is based on an adaptive extended Kalman filter (AEKF), which continuously estimates both the states and covariance matrices that describe the statistic characters of the system. Under a position sensor failure, the proposed FTC scheme instantly detects sensor fault and reconfigures the traction system with a virtual sensor to provide an EV with a necessary limp home capability. Unlike the conventional EKF with fixed covariance matrices, the proposed AEKF exhibits the robustness to the system stochastic noises and the transient operating conditions. Simulation on MATLAB/Simulink and experimental results on the IPMSM test bed with a TMS320F28335 DSP under various transient operating conditions are presented to demonstrate the effectiveness and feasibility of the proposed FTC scheme in comparison to the FTC with the conventional EKF. The comparative results indicate that the proposed AEKF more precisely estimates the rotor position with features robust to the position sensor failures than the conventional EKF.