电力系统自动化
電力繫統自動化
전력계통자동화
AUTOMATION OF ELECTRIC POWER SYSTEMS
2014年
20期
101-107
,共7页
张兴%汪杨俊%余畅舟%王付胜%赵为%倪华
張興%汪楊俊%餘暢舟%王付勝%趙為%倪華
장흥%왕양준%여창주%왕부성%조위%예화
并网逆变器%重复控制%零相位误差跟踪控制%干扰观测器%鲁棒性
併網逆變器%重複控製%零相位誤差跟蹤控製%榦擾觀測器%魯棒性
병망역변기%중복공제%령상위오차근종공제%간우관측기%로봉성
grid-connected inverters%repetitive control%zero phase error tracking control%disturbance observer DOB%robustness
对于采用“比例-积分(PI)+重复控制”的 LCL 并网逆变器控制系统进行了详细分析,并指出其动态性能仍有待进一步改善并且其补偿函数形式复杂,实现困难。结合零相位误差跟踪控制和干扰观测器,提出了一种改进型重复控制策略。一方面,利用零相位误差跟踪控制原理改善了重复控制系统的动态性能并且其补偿函数设计简单;另一方面利用干扰观测器克服了零相位误差跟踪控制参数依赖性强的缺点。最后,仿真和实验表明,与“PI+重复控制”相比较,所提控制策略在保证稳态控制精度的同时能够获得更好的动态性能,并且同样具有鲁棒性强的优点。
對于採用“比例-積分(PI)+重複控製”的 LCL 併網逆變器控製繫統進行瞭詳細分析,併指齣其動態性能仍有待進一步改善併且其補償函數形式複雜,實現睏難。結閤零相位誤差跟蹤控製和榦擾觀測器,提齣瞭一種改進型重複控製策略。一方麵,利用零相位誤差跟蹤控製原理改善瞭重複控製繫統的動態性能併且其補償函數設計簡單;另一方麵利用榦擾觀測器剋服瞭零相位誤差跟蹤控製參數依賴性彊的缺點。最後,倣真和實驗錶明,與“PI+重複控製”相比較,所提控製策略在保證穩態控製精度的同時能夠穫得更好的動態性能,併且同樣具有魯棒性彊的優點。
대우채용“비례-적분(PI)+중복공제”적 LCL 병망역변기공제계통진행료상세분석,병지출기동태성능잉유대진일보개선병차기보상함수형식복잡,실현곤난。결합령상위오차근종공제화간우관측기,제출료일충개진형중복공제책략。일방면,이용령상위오차근종공제원리개선료중복공제계통적동태성능병차기보상함수설계간단;령일방면이용간우관측기극복료령상위오차근종공제삼수의뢰성강적결점。최후,방진화실험표명,여“PI+중복공제”상비교,소제공제책략재보증은태공제정도적동시능구획득경호적동태성능,병차동양구유로봉성강적우점。
The control systems of grid-connected inverters with LCL filter based on“proportion-integration PI and repetitive control” are analyzed in detail.And it is pointed out that its dynamic performance has yet to be further improved and its compensation function form is complex while difficult to achieve.By using the zero phase error tracking control and disturbance observer DOB ,an improved repetitive control strategy is proposed.The use of the zero phase error tracking control can improve the dynamic performance of the system and its compensation function can be easily designed.On the other hand,the use of DOB can overcome the parameter dependence shortcomings of zero phase error tracking control.Finally,simulations and experiments show that,compared with “PI and repetitive control”,the proposed control strategy can yield a better dynamic performance and,while ensuring the steady-state control accuracy,it also has the advantage of strong robustness.