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基于自抗扰控制器的级联多电平静态同步补偿器控制系统
引用本文:许湘莲,邹云屏,郭江.基于自抗扰控制器的级联多电平静态同步补偿器控制系统[J].中国电机工程学报,2007,27(31):40-44.
作者姓名:许湘莲  邹云屏  郭江
作者单位:1. 华中科技大学电气与电子工程学院,湖北省,武汉市,430074
2. 武汉大学动力机械学院,湖北省,武汉市,430072
摘    要:级联多电平静态同步补偿器(STATCOM)是强耦合非线性系统,采用传统PID控制和现代控制理论难以得到满意的控制效果。为了提高系统的动态性能和鲁棒性,文中根据自抗扰控制器(ADRC)的原理提出了级联多电平STATCOM的自抗扰控制方案。自抗扰控制器的设计不需要精确的STATCOM参数和数学模型,它内部的扩张状态观测器可以估计出系统内扰(包括模型的不确定项和耦合项)和外扰的实时作用并给予补偿,从而实现无功电流和有功电流的解耦自抗扰控制。仿真和试验结果表明,自抗扰控制器对系统模型的不确定性和外扰具有较强的适应性和鲁棒性,控制系统具有优良的动态性能。

关 键 词:电力系统  静态同步补偿器  级联多电平逆变器  自抗扰控制器  动态性能
文章编号:0258-8013(2007)31-0040-05
收稿时间:2006-05-09
修稿时间:2007-03-10

Control System of Cascade Multilevel Statcom Based on Auto-disturbance Rejection Controller
XU Xiang-lian,ZOU Yun-ping,GUO Jiang.Control System of Cascade Multilevel Statcom Based on Auto-disturbance Rejection Controller[J].Proceedings of the CSEE,2007,27(31):40-44.
Authors:XU Xiang-lian  ZOU Yun-ping  GUO Jiang
Abstract:Cascade multilevel static synchronous compensator(STATCOM) is a so strongly coupled and nonlinear system that conventional PID control and modern control theories cannot assure a satisfactory behavior. In order to achieve high dynamic performance and robustness of control system,a new strategy for cascade multilevel STATCOM is presented by using auto-disturbance rejection controller(ADRC) in light of its principle in this paper. The ADRC controller can be designed without accurate STATCOM parameters and model. Extended states observer(ESO) in ADRC can provide the estimate of the real action of the system internal(including the unmeasured and coupled state) and external unknown disturbances,as well as compensate the action. So the active and reactive current decoupled auto-disturbance rejection control is realized. The simulation and experiment results show that the controllers ensure very good robustness and adaptability under modeling uncertainty and external disturbances,and produce good dynamic performance.
Keywords:power system  static synchronous com-pensator  cascade multilevel inverters  auto-disturbance rejection controller  dynamic performance
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