Sensorless Control of Permanent Magnet Synchronous Linear Motor Based on Improved Second-Order Generalized Integrators

Dekang Kong, Weichao Li, Jinyang Han, C. Deng, Ming Yan, Liang Zhou
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Abstract

Band-pass filter (BPF) and low-pass filter (LPF) are generally used to extract the position error signal of permanent magnet synchronous linear motor (PMSLM) in the traditional high-frequency (HF) pulsating voltage injection method. However, filters will generate system delay and affect the dynamic performance of the system. Therefore, this paper proposes to combine the generalized second-order integrator (SOGI) and notch filter (NF) to form an improved generalized second-order integrator (SOGI-NF). This structure effectively reduces the time delay caused by signal processing and shortens the operation time by replacing the BPF. Meanwhile, compared with the traditional SOGI, it has stronger harmonic attenuation ability, wider bandwidth and better dynamic performance. Finally, the feasibility and superiority of the position error signal extraction strategy based on the improved second-order generalized integrator are verified by simulation.
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基于改进二阶广义积分器的永磁同步直线电机无传感器控制
在传统的高频(HF)脉动电压注入方法中,通常采用带通滤波器(BPF)和低通滤波器(LPF)来提取永磁同步直线电机(PMSLM)的位置误差信号。但是,滤波器会产生系统延迟,影响系统的动态性能。因此,本文提出将广义二阶积分器(SOGI)与陷波滤波器(NF)相结合,形成改进的广义二阶积分器(SOGI-NF)。该结构通过替换BPF,有效地减少了信号处理带来的时间延迟,缩短了操作时间。同时,与传统的SOGI相比,它具有更强的谐波衰减能力、更宽的带宽和更好的动态性能。最后,通过仿真验证了基于改进二阶广义积分器的位置误差信号提取策略的可行性和优越性。
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