Measurement Offset Fault Detection Logic for PMSM Position Sensor

• Published in: IEEE sensors letters 2024-09, Vol.8 (9), p.1-4
• Main Author: Ahmed, Hafiz
• Format: Article
• Language: English
• Subjects: Algorithms; DC offset (DCO); Estimation; Fault detection; Fourier transforms; frequency ramp; Long short term memory; Memory devices; Motors; Neural networks; Noise; Performance degradation; Permanent magnets; Phase locked loops; phase-locked loop (PLL); Position measurement; Position sensing; power grid; Real-time systems; Sensor applications; sensor signal processing; Sensors; Servomotors; Signal processing; single-phase; State machines; Synchronous motors
• ISSN: 2475-1472; 2475-1472
• DOI: 10.1109/LSENS.2024.3447897

High-performance control of permanent magnet synchronous motors (PMSMs) demands precise position information, but nonidealities and signal conversion issues may introduce a dc offset (DCO) in the motor position sensor output. This offset significantly degrades drive performance and efficiency. To address this, conventional state-machine-type algorithms adapt control bandwidths based on fault types. This letter introduces an intuitive decision logic (DL) for both forward and reverse motor operations, offering simplicity and ease of implementation. In contrast to complex signal processing methods, such as wavelet and Fourier transformation and neural network, the proposed lightweight DL can be efficiently implemented in a wide range of embedded devices. Experimental results using an industrial-grade PMSM servo motor across diverse operating conditions validate the efficacy of the proposed DL over long short-term memory network-based counterpart.