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文摘
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对不确定时滞系统，提出了一种新的模糊内模预估控制方法。它的最大特点是采用智能化的模糊模型预估器作为被控过程的内部模型，对实际输出起预测作用，从而克服时滞对系统带来的不利影响。同时，根据预测误差建立一模糊内模控制器，在线修正、补偿被控过程的模型失配。数字仿真和电炉温度实时控制结果表明，这种控制方法优于常规控制方法；有一定的实用前景。 |
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其他语种文摘
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A predictive control method based on fuzzy internal model has been proposed to overcome the disadvantages of dead time of process to be controlled. Its main feature is to introduce an intelligent fuzzy model predictor into control system so as to forecast the output of process in time; thereby it can reduce the influence of dead time. At the same time the controller based on fuzzy internal model would modify and compensate the change of model according to the predictive error. It is shown in the simulations that the proposed control method has beetler control results than other common control methods. Furthermore, the experiment of electrical-resistance stove indicates that it has a perfect practical outlook. |
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来源
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控制理论与应用
,2002,19(4):607-610 【核心库】
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关键词
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模糊控制
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内模结构
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时滞系统
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实时控制
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地址
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1.
中国科学技术大学自动化系, 合肥, 230026
2.
中山大学信息科学与技术学院, 广州, 510275
3.
中国科学院合肥智能机械研究所, 合肥, 230031
4.
Hefei Institute of Intelligent Machines, Chinese Academy Sciences, Hefer, 230031
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1000-8152 |
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学科
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自动化技术、计算机技术 |
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文献收藏号
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CSCD:946359
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