期刊文献+

基于有界扰动分区的多模型自适应控制 被引量:6

Multiple model adaptive control based on the divided scope of bounded disturbance
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摘要 对于含有界扰动的离散时间系统,将有界扰动变化范围分割成若干小区间,针对这些区间建立多个自适应模型,并针对每一个自适应模型建立相应的控制器.给定一个指标切换函数,基于多个自适应模型控制器和给定的指标切换函数构成多模型自适应控制器.可以证明多模型自适应控制器能够保证闭环系统是输入输出有界稳定的.仿真实例表明,当被控对象的有界扰动随时间变化的时候,采用单一模型自适应控制,系统输出很难跟踪设定值,而多模型自适应控制器却极大地改善了控制品质. The discrete time system with bounded disturbance is considered in this paper, The changing scope of bounded disturbance is divided into several subranges. According to different subrange, multiple adaptive models are set up. Meanwhile, multiple adaptive controllers are given according to the multiple adaptive models. Based on the multiple controllers, a multiple model adaptive controller can be formed by using an index switching function. The closed-loop system is proved to be bounded-input and bounded-output stable when the multiple model adaptive controller is used. When the bound of disturbance is time-varying, from the simulation example it can be seen that the output of the system is difficult to track the set-point value by using single model adaptive controller, and the control performance can be improved greatly by using the proposed multiple model adaptive controller,
出处 《控制理论与应用》 EI CAS CSCD 北大核心 2006年第2期283-286,共4页 Control Theory & Applications
基金 北京科技大学"422高层次创新人才工程"人才基金资助项目 国家杰出青年基金资助项目(69825106)
关键词 有界扰动 多模型 自适应控制 bounded disturbance multiple model adaptive control
作者简介 李晓理(1971-),男,北京科技大学副教授,分别于1994年和1997年在大连理工大学获控制理论与控制工程专业学士和硕士学位,2000年于东北大学获控制理论与控制工程专业博士学位。2000年至2002年在清华大学自动化系从事博士后研究工作,2003年1月至7月在比利时布鲁塞尔自由大学访问学者,主要研究方向为多模型白适应控制,E—mail:Lixiaoli@hotmail.com: 张维存(1962-),男,北京科技大学副教授,1993年毕业于清华大学自动化系,获控制理论与应用专业博士学位,1997年~1998年在美闺密西根大学访问学者,研究兴趣为自校正控制系统、决策支持系统,E-mail:weichunzhang@126.com; 王伟(1955-),男,大连理工大学教授,1988年获东北大学工学博士学位,主要研究方向为复杂工业过程的建模、控制与优化、预测控制理论和自适应控制等,E-mail:wangwei@dlutedu.cn.
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参考文献10

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二级参考文献17

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共引文献46

同被引文献59

  • 1李鹏.优选法在非线性函数分段线性化计算机编程中的应用[J].发明与创新(大科技),2007(5):29-29. 被引量:1
  • 2夏长亮,宋战锋.变速恒频风力发电系统变桨距自抗扰控制[J].中国电机工程学报,2007,27(14):91-95. 被引量:78
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  • 7Ge S S, Wang C. Direct adaptive NN control of a class nonlinear system[J]. IEEETrans. on Neural Networks, 2002, 13(1): 214-221.
  • 8Narendra K S, Cheng X. Adaptive control of discrete-time sys tems using multiple models[J]. IEEE Trans. on Automatic con trol, 2000, 45(9): 1669- 1686.
  • 9Chen L J, Kumpati S, Narendra K S. Nonlinear adaptive control using neural networks and multiple models[J]. Automatica, 2001, 37(8) : 1245- 1255.
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