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霍爾傳感器故障下的永磁無刷電機容錯控制及其動態(tài)性能研究

發(fā)布時間:2018-03-28 11:04

  本文選題:永磁無刷電機 切入點:容錯控制 出處:《中國電機工程學報》2017年12期


【摘要】:該文針對霍爾位置傳感器的故障,提出永磁無刷電機的容錯控制方法,并研究了容錯控制系統(tǒng)在動態(tài)過程中的性能。首先,分析霍爾傳感器的故障情況,定義故障類型。分析各種故障對霍爾信號中的角度間隔和時間間隔的影響,提出針對霍爾故障的轉子角度外插估計法。為減小角度預估的滯后,將外插估計法和電機的機械動態(tài)模型結合,提出能夠克服霍爾故障的閉環(huán)角度觀測器,以電磁轉矩作為前饋信號,提高觀測器的動態(tài)反應速度。為了完全消除估計角度的滯后現(xiàn)象,將霍爾信號變換為霍爾矢量,并對霍爾矢量進行了頻譜分析和諧波消去,在此基礎上提出了具有容錯功能的霍爾矢量跟蹤觀測器。最后,通過仿真和實驗驗證了三種容錯控制方法。實驗結果表明,三種容錯控制方法都能在故障情況下完成轉子角度的估計,實現(xiàn)驅動系統(tǒng)的容錯控制,而且霍爾矢量跟蹤觀測器有效地改善了容錯控制系統(tǒng)的動態(tài)性能。
[Abstract]:In this paper, a fault tolerant control method for permanent magnet brushless motor is proposed for the failure of Hall position sensor, and the performance of fault tolerant control system in dynamic process is studied. Firstly, the fault of Hall sensor is analyzed. The influence of various faults on angular interval and time interval in Hall signal is analyzed. A rotor angle extrapolation estimation method for Hall fault is proposed to reduce the lag of angle estimation. By combining the extrapolation estimation method with the mechanical dynamic model of the motor, a closed-loop angle observer which can overcome the Hall fault is proposed. The electromagnetic torque is used as the feedforward signal. In order to eliminate the lag phenomenon of estimating angle completely, Hall signal is transformed into Hall vector, and the spectrum analysis and harmonic elimination of Hall vector are carried out. Finally, three kinds of fault-tolerant control methods are verified by simulation and experiment. The experimental results show that, All of the three fault tolerant control methods can estimate the rotor angle and realize the fault tolerant control of the drive system. The Hall vector tracking observer can improve the dynamic performance of the fault tolerant control system effectively.
【作者單位】: 西北工業(yè)大學自動化學院;
【基金】:陜西省科技統(tǒng)籌創(chuàng)新工程計劃項目(2016KTCQ01-49)~~
【分類號】:TM351

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1 張君昌,侯義斌,李言俊;基于知識熵漲落的系統(tǒng)智能容錯控制法[J];彈箭與制導學報;2000年02期

2 黃孝彬,牛玉廣,孫萬云;容錯控制及其在火電廠中的應用[J];電力情報;2000年04期

3 王峰;汪t,

本文編號:1676054


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