Suzhou Electric Appliance Research Institute
期刊號(hào): CN32-1800/TM| ISSN1007-3175

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基于改進(jìn)模型預(yù)測(cè)的BLDCM轉(zhuǎn)矩脈動(dòng)抑制研究

來源:電工電氣發(fā)布時(shí)間:2024-11-04 14:04瀏覽次數(shù):75

基于改進(jìn)模型預(yù)測(cè)的BLDCM轉(zhuǎn)矩脈動(dòng)抑制研究

王雷,崔玉鑫,王育安,史國航
(河北科技大學(xué) 電氣工程學(xué)院,河北 石家莊 050018)
 
    摘 要:由于電機(jī)結(jié)構(gòu)設(shè)計(jì)和控制方法等因素,無刷直流電機(jī)(BLDCM)在運(yùn)行過程中會(huì)產(chǎn)生轉(zhuǎn)矩脈動(dòng),引起電機(jī)在全速運(yùn)行時(shí)出現(xiàn)抖動(dòng)。分析了換相轉(zhuǎn)矩脈動(dòng)產(chǎn)生的原因,結(jié)合占空比預(yù)測(cè)方法提出一種改進(jìn)的模型預(yù)測(cè)控制方法,使用占空比預(yù)測(cè)替代傳統(tǒng)的電流環(huán) PI 控制器,并將預(yù)測(cè)的占空比用于 PWM_ON_PWM 調(diào)制波的生成,避免了傳統(tǒng) PI 控制復(fù)雜的參數(shù)設(shè)置,有效減少了部分轉(zhuǎn)矩波動(dòng)。推導(dǎo)了在換相過程中插入單管調(diào)制和三管調(diào)制對(duì)非換相相電流的抑制作用,并設(shè)計(jì)了新型代價(jià)函數(shù),實(shí)現(xiàn)了最優(yōu)開關(guān)狀態(tài)插入的模型預(yù)測(cè)控制。在電流預(yù)測(cè)過程中,提出一種動(dòng)態(tài)反饋修正方法,消除了因電機(jī)運(yùn)行參數(shù)變化帶來的預(yù)測(cè)值偏移問題。通過仿真實(shí)驗(yàn)驗(yàn)證了所提控制策略在不同轉(zhuǎn)速下對(duì)減小換相轉(zhuǎn)矩脈動(dòng)的有效性,并顯著提高了無刷直流電機(jī)控制系統(tǒng)的控制性能。
    關(guān)鍵詞: 無刷直流電機(jī);轉(zhuǎn)矩脈動(dòng);模型預(yù)測(cè);動(dòng)態(tài)修正;占空比;代價(jià)函數(shù)
    中圖分類號(hào):TM33     文獻(xiàn)標(biāo)識(shí)碼:A     文章編號(hào):1007-3175(2024)10-0008-06
 
Research on BLDCM Torque Ripple Suppression Based on
Improved Model Prediction
 
WANG Lei, CUI Yu-xin, WANG Yu-an, SHI Guo-hang
(School of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China)
 
    Abstract: Due to factors such as the structural design of the motor and control methods, brushless direct current motors (BLDCM) generates torque ripple during operation, causing the motor to vibrate during full-speed operation. In this paper, the causes of commutation torque ripple are analyzed, and an improved model predictive control method is proposed in combination with the duty cycle prediction method, which replaces the traditional current loop PI controller with duty cycle prediction, and uses the predicted duty cycle for the generation of PWM_ON_PWM modulation waves, which avoids the complex parameter settings of the traditional PI control and effectively reduces part of the torque fluctuation. In the process of current prediction, a dynamic feedback correction method is proposed to eliminate the prediction value offset problem caused by changes in motor operating parameters. Finally, simulation experiments verified the effectiveness of the proposed control strategy in reducing commutation torque ripple at different speeds, and significantly improved the control performance of the brushless DC motor control system.
    Key words: brushless direct current motor; torque ripple; model prediction; dynamic correction; duty cycle; cost function
 
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