时滞系统的自抗扰广义预测控制的性能分析
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  • 英文篇名:Performance analysis of active disturbance rejection generalized predictive control on time-delay systems
  • 作者:陈增强 ; 吴瑕 ; 孙明玮 ; 孙青林
  • 英文作者:CHEN Zengqiang;WU Xia;SUN Mingwei;SUN Qinglin;College of Computer and Control Engineering, Nankai University;Key Lab of Intelligent Robotics of Tianjin;
  • 关键词:广义预测控制 ; 自抗扰控制 ; 自抗扰广义预测控制 ; 闭环反馈结构 ; 频域分析法
  • 英文关键词:generalized predictive control;;active disturbance rejection control;;active disturbance rejection generalized predictive control;;closed-loop feedback structure;;frequency domain analysis methods
  • 中文刊名:ZNGD
  • 英文刊名:Journal of Central South University(Science and Technology)
  • 机构:南开大学计算机与控制工程学院;天津市智能机器人重点实验室;
  • 出版日期:2018-08-26
  • 出版单位:中南大学学报(自然科学版)
  • 年:2018
  • 期:v.49;No.288
  • 基金:国家自然科学基金资助项目(61573199,61573197)~~
  • 语种:中文;
  • 页:ZNGD201808017
  • 页数:11
  • CN:08
  • ISSN:43-1426/N
  • 分类号:122-132
摘要
为了实现对时滞系统的高性能控制,提出1种自抗扰广义预测控制算法。首先阐述自抗扰广义预测控制算法的设计原理,得到算法的闭环反馈结构。然后利用频域分析法推导出算法的频域特性,分析并总结时滞系统自抗扰广义预测控制算法的参数整定原则。最后对自抗扰广义预测控制算法以及传统的广义预测控制算法的动态性能进行比较。研究结果表明:自抗扰广义预测控制算法无需在线辨识被控对象精确的数学模型,可以离线求得丢番图方程的解析解,算法的在线计算量大大减少;相比于传统的广义预测控制算法,自抗扰广义预测控制算法具有更好的动态性能。
        In order to achieve high performance control of time-delay system, a new algorithm, i.e., active disturbance rejection generalized predictive control(ADRC-GPC) was proposed. First, the design process of the new algorithm was introduced. Then the closed-loop feedback structure of ADRC-GPC algorithm was deduced. Second, frequency domain analysis method was used to analyze frequency characteristics of ADRC-GPC method, and the parameters tuning principle of the algorithm was summarized. At last, dynamic performance of ADRC-GPC algorithm was compared with that of GPC algorithm. The results show that the proposed method can get the general solutions to Diophantine equations off-line and does not need to identify the system parameters, so the online calculation burden is reduced greatly. ADRC-GPC algorithm shows better dynamic performance than the traditional GPC control algorithm.
引文
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