现代电子技术2026，Vol.49Issue(20)：22-29,8.DOI:10.16652/j.issn.1004-373X.2026.20.004
基于逆变器非线性扰动抑制的车用电机低速无感控制方法研究
Method of vehicle motor low-speed sensorless control based on inverter nonlinear disturbance suppression
摘要
Abstract
In the traditional high-frequency square-wave signal injection method used for sensorless control of vehicle motors at low speeds,the fixed amplitude of the injected voltage causes the high-frequency response current-which contains the decoded rotor position signal-to distort under the influence of inverter nonlinearities.Especially when the motor operates under low-load conditions,this distorted current will cause severe motor torque ripple,resulting in significant disturbance errors in the rotor position estimation signal and directly impairing the safety and reliability of the sensor-less system.On this basis,a suppression method that adaptively adjusts the injection voltage amplitude in response to inverter nonlinear disturbances is proposed.The simulation results demonstrate that,in comparison with the conventional fixed-amplitude injection method,the proposed approach can improve the maximum rotor position estimation accuracy by up to 10.7° across the entire low-speed load range of vehicle motors.Furthermore,the maximum errors in rotor position estimation,torque pulsation and speed estimation are all maintained within 0.5%.These findings confirm that this method has strong capability in suppressing nonlinear disturbances and can significantly enhance the stability and control precision of low-speed sensorless systems for vehicle motors.This method has the simple principle and low implementation cost,which has significant engineering application value.关键词
高频方波信号注入/车用电机/低速无感控制/转子位置信号/逆变器非线性扰动/畸变电流/幅值自适应/全负载域Key words
high frequency square wave signal injection/vehicle motor/low-speed non-inductive control/rotor position signal/nonlinear disturbance of inverter/distortion current/amplitude self-adaptation/full-load range分类
信息技术与安全科学引用本文复制引用
纪帅,杨攀,李峰,刘文昉,郝永健..基于逆变器非线性扰动抑制的车用电机低速无感控制方法研究[J].现代电子技术,2026,49(20):22-29,8.基金项目
国家自然科学基金项目(52167006) （52167006）
