中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Robust mixed H2/ H∞ based optimal controller design for single-phase grid-connected converter

文献类型:会议论文

作者Li ZW(李忠文); Zang CZ(臧传治); Zeng P(曾鹏); Yu HB(于海斌); Li HP(李鹤鹏); Gao, Lin; Bai, Xiuwen
出版日期2016
会议名称28th Chinese Control and Decision Conference, CCDC 2016
会议日期May 28-30, 2016
会议地点Yinchuan, China
关键词single-phase converter mixed H2 / H∞ uncertainty optimal control
页码1230-1234
通讯作者李忠文
中文摘要In order to integrate more and more renewable energy resources to the main grid, single-phase grid-connected converters (GCCs) have gained more attention. However, the controller for a single-phase GCC is much more difficult to design than for a three-phase GCC. Traditionally, proportional plus integral (PI) or proportional plus resonant (PR) are widely used to control a single-phase GCC system. However, both the PI and PR controlled GCC show some drawbacks, such as slow response speed, poor robust performance against the systems' uncertainties and exogenous disturbance. In this paper, the detail state-space model of a single-phase GCC system is built, which includes the uncertainty and disturbance in the system to accurately reflect the practical system conditions. Then, robust mixed H2/H∞ optimal control technique is applied to design a full-state feedback controller for a single-phase grid-connected converter. The performance of proposed control method is evaluated by simulation. Simulation results demonstrate that the proposed control method has much more improved transient and steady state performance than PI controller.
收录类别EI ; CPCI(ISTP)
产权排序1
会议录Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
会议录出版者IEEE
会议录出版地Piscataway, NJ, USA
语种英语
ISSN号1948-9439
ISBN号978-1-4673-9714-8
WOS记录号WOS:000383222301086
源URL[http://ir.sia.cn/handle/173321/19175]  
专题沈阳自动化研究所_工业控制网络与系统研究室
推荐引用方式
GB/T 7714
Li ZW,Zang CZ,Zeng P,et al. Robust mixed H2/ H∞ based optimal controller design for single-phase grid-connected converter[C]. 见:28th Chinese Control and Decision Conference, CCDC 2016. Yinchuan, China. May 28-30, 2016.

入库方式: OAI收割

来源:沈阳自动化研究所

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