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Design of Robust Controller for STATCOM Applied to Large Induction Motor Using Normalized Coprime Factorization Approach

机译:归一化互质因数分解法设计用于大型感应电动机的STATCOM鲁棒控制器

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摘要

Between the different robust H-infinity methods to design the controller for FACTS, loop shaping is known to be one of the effective and feasible methods. This research presents an investigation on H-infinity loop shaping procedure through normalized coprime factorization (NCF) for STATCOM installed at terminals of a large induction motor. The dynamic behaviors of induction motor are analyzed while the uncertainty of system parameters and STATCOM parameters are considered and will be compared with conventional PI controller. Simulation results prove that NCF method has better dynamic response and is more robust than PI controller against variation of system parameters and STATCOM parameters, so in a specified operating point even the system goes to instability.
机译:在设计FACTS控制器的不同鲁棒H无限方法之间,已知环路整形是一种有效且可行的方法。这项研究提出了通过对安装在大型感应电动机端子上的STATCOM进行归一化互质因数分解(NCF)进行H-无穷大环路整形过程的研究。分析了异步电动机的动态行为,同时考虑了系统参数和STATCOM参数的不确定性,并将其与常规PI控制器进行比较。仿真结果表明,NCF方法在系统参数和STATCOM参数变化方面具有比PI控制器更好的动态响应和更强的鲁棒性,因此在指定的工作点甚至系统都不稳定。

著录项

  • 来源
    《Arabian Journal for Science and Engineering》 |2013年第10期|2713-2723|共11页
  • 作者单位

    Department of Electrical and Electronics Engineering, Faculty of Engineering, University Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia;

    Department of Electrical and Electronics Engineering, Faculty of Engineering, University Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia;

    Department of Electrical and Electronics Engineering, Faculty of Engineering, University Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia;

    Department of Electrical and Electronics Engineering, Faculty of Engineering, University Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    STATCOM; Robust control; Normalized coprime factorization; Uncertainty modeling;

    机译:STATCOM;鲁棒的控制;归一化互质因式分解;不确定性建模;
  • 入库时间 2022-08-18 02:58:22

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