基于增強(qiáng)型自適應(yīng)超螺旋滑模觀測(cè)器的永磁同步電機(jī)控制策略

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關(guān)鍵詞：永磁同步電機(jī)；無(wú)傳感器控制；滑模觀測(cè)器；超螺旋算法；抖振抑制；轉(zhuǎn)子位置估計(jì)DOI：10.15938/j.emc.2025.06.001中圖分類號(hào)：TM341;TP273 文獻(xiàn)標(biāo)志碼：A 文章編號(hào)：1007-449X（2025）06-0001-11

Control strategy of permanent magnet synchronous motor based on enhanced adaptive super-twisting sliding mode observer

SONG Yusheng1， ZHUO Senqing2， LI Fashun2， WANG Xuan2GUO Changxing'， SHEN Chuanwen1（1.School of Electrical Engineering，Xi'an Jiaotong University，Xi’an 71Oo49，China;2.AUX Air Conditioner Co.，Ltd.，Ningbo 315191，China）

Abstract：In response to the chattering issue caused by the discontinuity of the sign function in sliding mode observers （SMO） for permanent magnet synchronous motors （PMSM），and aiming to reduce the complexity introduced by the low-passfilter （LPF）and phase compensation stages，an enhanced adaptive super-twisting sliding mode observer （E-ASTSMO） was proposed for sensorless control. A second-order non-linear function with continuous smoothness and adjustable boundary layer was employed to replace the switching function in super twisting sliding mode observer （STSMO），thereby improving the system’s continuity，effectively suppressing torque ripple，and reducing inherent sliding mode oscilations. A sliding mode coeficient adaptable to the rotor speed was designed，which enhances both low and high-speed domains for back-electromotive force estimation，enabling precise rotor position estimation across a wider speed range，consequently reducing the speed error and rotor position estimation error. Comparative simulations and experiments between the E-ASTSMO and traditional SMO were conducted. Results demonstrate that the E-ASTSMO exhibits superior dynamic performance，steady-state rotor position estimation， and parameter robustness， effectively enhancing the sensorless control performance of PMSM.

Keywords： permanent magnet synchronous motor; sensorless control; sliding mode observer; super-twisting algorithm；chattering suppression；rotor position estimation

0引言

隨著全球能源危機(jī)的日益嚴(yán)峻，風(fēng)力發(fā)電和新能源電動(dòng)汽車等領(lǐng)域呈現(xiàn)出蓬勃發(fā)展的趨勢(shì)。（剩余13381字）