Current Control of Grid-Connected Inverter With LCL Filter Based on Extended-State Observer Estimations Using Single Sensor and Achieving Improved Robust Observation Dynamics

被引:98
|
作者
Wang, Baochao [1 ,2 ]
Xu, Yongxiang [2 ]
Shen, Zhaoyuan [2 ]
Zou, Jibin [1 ,2 ]
Li, Chaoquan [3 ]
Liu, Hong [4 ,5 ]
机构
[1] Harbin Inst Technol, State Key Lab Robot & Syst, Harbin 150001, Peoples R China
[2] Harbin Inst Technol, Sch Elect Engn & Automat, Harbin 150001, Peoples R China
[3] NORINCO, Nav & Control Inst, Beijing 100089, Peoples R China
[4] Harbin Inst Technol, Sch Mechatron Engn, Harbin 150001, Peoples R China
[5] Harbin Inst Technol, State Key Lab Robot & Syst, Harbin 150001, Peoples R China
基金
中国国家自然科学基金;
关键词
Active damping; extended state observer (ESO); grid-connected inverter; grid synchronization; independent of expertise tuning; LCL filter; observer dynamic decoupling; parameter mismatch; single sensor; CONVERTERS;
D O I
10.1109/TIE.2017.2674600
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the context of distributed generation and renewable energy penetration toward smart grid, grid-connected inverter with LCL filter has drawn many attentions, whose current control conventionally requires several sensors to realize active damping and grid synchronization. In this paper, a novel full status observation strategy based on extended state observer (ESO) is proposed using inverter current feedback only and without grid voltage sensor. The proposed observation strategy contains observation and transformation process. Unlike conventional Luenberger observer, by using ESO, the system parameters do not appear in observation process, thus the observer dynamics and parameter mismatch error can be separately handled, providing more robust observation dynamics during parameter variation. Parameter mismatch study was carried out, and it is found that purposely choosing the observer parameters smaller than the real value can achieve relatively low estimation error and a large adaption range for parameter variation. The proposed observation strategy is simple to implement, without the need of expert knowledge-based parameter tuning such as pole placement. Experimental tests validated that the proposed observation-based control is able to give satisfactory performance in both dynamic and steady states, as well as adaption for system parameter variation.
引用
收藏
页码:5428 / 5439
页数:12
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