基于改进DSOGI-PLL观测器的无传感器BLDCM驱动在太阳能光伏辅助LEV中的应用

This article introduces an innovative method for estimating the position of a brushless dc (BLDC) motor, specifically for a solar photovoltaic (PV) and a battery-powered BLDC motor drive. The focus is on designing a sensorless control of the BLDC motor with energy regeneration suitable for a light electric vehicle. One of the primary challenges in permanent magnet BLDC motor drives is a commutation error, which degrades performance and results in distorted current and highly fluctuating torque. The commutation error can stem from various sources, including low-pass filters, delays, phase discrepancies, and variations in machine parameters. This study proposes a frequency-adaptive approach based on a dual-second-order generalized integrator phase-locked loop (DSOGI-PLL) for position estimation. To enhance resilience to input disturbances, a frequency-adaptive prefilter is integrated. The implemented DSOGI-PLL, combined with a proportional–resonant controller, exhibits robust disturbance rejection capabilities, accommodating phase delays and phase lag in the system. This article comprehensively explains a rotor position estimator, including its dynamics and transient behavior. The overall system comprises a dc–dc converter with continuous current powered by both the solar PV array and the battery, creating a smooth power transfer solution for e-mobility with energy regeneration. The proposed algorithm is validated through experimental results.