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对具有大时滞环节的极值调节控制系统最优工作点动态预估研究

Pre-estimating Dynamically the Optimum of Extremum Value Control System with Large Time Delay Element

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【作者】 李国强

【Author】 LI Guo-qiang(School of Physics and Electrical Engineering,Weinan Normal University,Weinan 714000,China)

【机构】 渭南师范学院物理与电气工程学院

【摘要】 对于极值调节控制对象,若其线性部分的传递函数G(s)仅具有高阶惯性环节时,我们以前所提出的基于相关辨识法预估高阶极值调节控制系统最优工作点的算法具有预估速度快、抗干扰能力强、准确、高效等优点.然而,当极值调节控制对象同时具有高阶惯性环节与大延时环节时,这种动态预估方法就不能直接使用了.提出了一种对具有大时滞环节的高阶极值调节控制系统最优工作点的动态预估方法.通过对以前所提出的动态预估算法的推导过程进行详细分析,充分考虑到大时滞环节的影响,把基于相关辨识法预估高阶极值调节控制系统最优工作点的算法进行了扩展,这种扩展后的算法很好地解决了动态预估具有大时滞环节的高阶极值调节控制系统最优工作点的问题.

【Abstract】 As to the optimum of extremum value controlled plant,if the transfer function of its linear part is only with the high order dynamic elements,the optimum of extremum value control system could be dynamically pre-estimated by using the method based on correlation identification we presented,the pre-estimating method has the estimate speed quickly,anti-jamming ability strong,accurate,highly effective and so on the merits.However,if the controlled plant is simultaneously with high order dynamic elements and a large time delay element,the method could not be used directly to pre-estimate dynamically the optimum of the extremum value control system.A new improved pre-estimating method is presented so as to resolve the problem above.After we have in detail analyzed the derivation process of the pre-estimating method we presented,fully taking into account the effects of large time-delay element,the algorithm based on correlation identification has been extended;the optimum of extremum value control system with a large time delay element is well resolved by the extended algorithm.

【基金】 陕西省自然科学研究基金项目(2011JM8021);陕西省教育厅专项科研基金项目(2010JK533)
  • 【文献出处】 渭南师范学院学报 ,Journal of Weinan Normal University , 编辑部邮箱 ,2012年12期
  • 【分类号】TP273.23
  • 【下载频次】18
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