电机与控制学报
電機與控製學報
전궤여공제학보
Electric Machines and Control
2015年
11期
1-9
,共9页
金辛海%张扬%杨明%徐殿国
金辛海%張颺%楊明%徐殿國
금신해%장양%양명%서전국
预测电流控制%感应电机%参数校正%电流静差消除
預測電流控製%感應電機%參數校正%電流靜差消除
예측전류공제%감응전궤%삼수교정%전류정차소제
predictive current control%induction motor%parameter correction%current error elimination
感应电机电流预测控制可以有效避免由电流环中各个滞后环节所导致的控制性能恶化,提高电流控制的动态性能。但由于测量误差以及参数变化等原因,预测控制器所使用的感应电机模型参数与实际电机参数很有可能存在偏差,进而引起电流静差,导致系统效率降低,无法输出额定转矩及无法工作在转矩控制模式等问题。在感应电机模型基础上,定量分析了预测控制模型参数误差对电流控制稳定性的影响,并推导出电流指令与实际反馈电流的静差与模型参数误差两者之间的定量关系,进而提出一种电流静差消除方法。这种方法通过d、q轴反馈电流对预测控制模型参数进行校正,来消除控制器电机模型参数误差所引起的静差。最后通过实验验证了此种方法的可靠性和有效性。
感應電機電流預測控製可以有效避免由電流環中各箇滯後環節所導緻的控製性能噁化,提高電流控製的動態性能。但由于測量誤差以及參數變化等原因,預測控製器所使用的感應電機模型參數與實際電機參數很有可能存在偏差,進而引起電流靜差,導緻繫統效率降低,無法輸齣額定轉矩及無法工作在轉矩控製模式等問題。在感應電機模型基礎上,定量分析瞭預測控製模型參數誤差對電流控製穩定性的影響,併推導齣電流指令與實際反饋電流的靜差與模型參數誤差兩者之間的定量關繫,進而提齣一種電流靜差消除方法。這種方法通過d、q軸反饋電流對預測控製模型參數進行校正,來消除控製器電機模型參數誤差所引起的靜差。最後通過實驗驗證瞭此種方法的可靠性和有效性。
감응전궤전류예측공제가이유효피면유전류배중각개체후배절소도치적공제성능악화,제고전류공제적동태성능。단유우측량오차이급삼수변화등원인,예측공제기소사용적감응전궤모형삼수여실제전궤삼수흔유가능존재편차,진이인기전류정차,도치계통효솔강저,무법수출액정전구급무법공작재전구공제모식등문제。재감응전궤모형기출상,정량분석료예측공제모형삼수오차대전류공제은정성적영향,병추도출전류지령여실제반궤전류적정차여모형삼수오차량자지간적정량관계,진이제출일충전류정차소제방법。저충방법통과d、q축반궤전류대예측공제모형삼수진행교정,래소제공제기전궤모형삼수오차소인기적정차。최후통과실험험증료차충방법적가고성화유효성。
Current predictive control of induction motor can effectively avoid the deterioration of control performance caused by delay in current loop, and dynamic performance of current can be improved. However, due to measurement error, parameter changes and other reasons, deviation probably existed be-tween the induction motor model parameters which predictive controller used and the actual motor parame-ters, then static current error were caused, system efficiency was lowered, failed to output nominal torque, and could not operate in torque control mode. Based on induction motor model, influence on cur-rent control stability was quantitatively analyzed caused by predictive control model parameter error, the mathematical relation of model parameter error and the actual feedback current static error was presented, and an algorithm was proposed to eliminate the static error. The algorithm corrected predictive control model parameters through d、q axis current feedback, and static error caused by the controller motor mod-el parameter errors was eliminated. With experimental result, the stability and effectiveness of this pro-posed method were proved.