中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2015年
3期
688-694
,共7页
杜少通%伍小杰%周娟%王福均%杨宇
杜少通%伍小傑%週娟%王福均%楊宇
두소통%오소걸%주연%왕복균%양우
脉宽调制%模型预测%虚拟磁链%单目标优化%多目标优化
脈寬調製%模型預測%虛擬磁鏈%單目標優化%多目標優化
맥관조제%모형예측%허의자련%단목표우화%다목표우화
pulse width modulation%model prediction (PWM)%virtual flux%single target optimization%multi-target optimization
针对变流器脉宽调制(pulse-width modulation,PWM),基于虚拟磁链的模型预测,提出一种新型脉宽调制算法(novel algorithm of pulse-width modulation,NPWM)。建立由正弦调制电压和变流器输出电压构成的虚拟磁链模型,以磁链误差最小为优化目标建立价值函数,采用模型预测获取最优目标电压矢量。基于单一目标预测方法,提出一种多目标预测方案,确保在磁链误差范围一定的前提下降低器件平均开关频率,依据建立的价值函数分析算法流程。仿真和实验比较两种预测算法下NPWM调制和空间矢量脉宽调制的控制效果,验证两种预测方法下NPWM算法的有效性。
針對變流器脈寬調製(pulse-width modulation,PWM),基于虛擬磁鏈的模型預測,提齣一種新型脈寬調製算法(novel algorithm of pulse-width modulation,NPWM)。建立由正絃調製電壓和變流器輸齣電壓構成的虛擬磁鏈模型,以磁鏈誤差最小為優化目標建立價值函數,採用模型預測穫取最優目標電壓矢量。基于單一目標預測方法,提齣一種多目標預測方案,確保在磁鏈誤差範圍一定的前提下降低器件平均開關頻率,依據建立的價值函數分析算法流程。倣真和實驗比較兩種預測算法下NPWM調製和空間矢量脈寬調製的控製效果,驗證兩種預測方法下NPWM算法的有效性。
침대변류기맥관조제(pulse-width modulation,PWM),기우허의자련적모형예측,제출일충신형맥관조제산법(novel algorithm of pulse-width modulation,NPWM)。건립유정현조제전압화변류기수출전압구성적허의자련모형,이자련오차최소위우화목표건립개치함수,채용모형예측획취최우목표전압시량。기우단일목표예측방법,제출일충다목표예측방안,학보재자련오차범위일정적전제하강저기건평균개관빈솔,의거건립적개치함수분석산법류정。방진화실험비교량충예측산법하NPWM조제화공간시량맥관조제적공제효과,험증량충예측방법하NPWM산법적유효성。
In allusion to pulse-width modulation (PWM), a novel algorithm of pulse width modulation (NPWM) was proposed based on virtual flux model prediction. The virtual flux models consisting of sinusoidal modulation voltage and converter output voltage were established. The cost function was built aiming at making the flux error minimum. And the optimal objective voltage vector was obtained by using model prediction. On the basis of single target predictive method, a type of multi-target predictive method was put forward whi’ch ensures that the device’s average switching frequency was reduced under the premise of certain range of flux errors . The algorithm flow was analyzed according to the established cost function. The control effect of NPWM and space vector pulse width modulation was compared by simulations and experiments, which verifies the effectiveness of NPWM in the two predictive methods.