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题名: Robust mixed H2/ H∞ based optimal controller design for single-phase grid-connected converter
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
作者部门: 工业控制网络与系统研究室
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
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
出版日期: 2016
页码: 1230-1234
收录类别: EI ; CPCI(ISTP)
ISSN号: 1948-9439
ISBN号: 978-1-4673-9714-8
关键词: single-phase converter ; mixed H2 / H∞ ; uncertainty ; optimal control
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.
语种: 英语
产权排序: 1
WOS记录号: WOS:000383222301086
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/19175
Appears in Collections:工业控制网络与系统研究室_会议论文

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Recommended Citation:
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.
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