| 基于柔性迭代学习控制的专家系统研究与应用 |
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| 引用本文： | 刘作军,张洁,杨鹏,陈玲玲. 基于柔性迭代学习控制的专家系统研究与应用[J]. 合肥工业大学学报(自然科学版), 2009, 32(11) |
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| 作者姓名： | 刘作军 张洁 杨鹏 陈玲玲 |
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| 作者单位： | 河北工业大学,自动化系,天津,300130;河北工业大学,自动化系,天津,300130;河北工业大学,自动化系,天津,300130;河北工业大学,自动化系,天津,300130 |
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| 基金项目： | 河北省科技研究与发展计划资助项目，天津市应用基础研究计划资助项目 |
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| 摘 要： | 对于难于建模的复杂系统,专家系统可以显著改善控制效果,但不同的系统需要的知识库各不相同,给专家系统的建立带来了困难.迭代学习控制可以不依赖系统的数学模型,利用以前控制周期的参数自动生成经验知识,建立专家系统;同时考虑被控系统中所具有的不确定性,因此提出具有柔性特点的迭代学习控制ILC控制器;运用柔性ILC建立的专家系统对空调进行控制,可以达到理想的控制效果.
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| 关 键 词： | 迭代学习控制 柔性 专家系统 空调 |
Study on expert systems based on flexible iterative learning control |
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| LIU Zuo-jun,ZHANG Jie,YANG Peng,CHEN Ling-ling. Study on expert systems based on flexible iterative learning control[J]. Journal of Hefei University of Technology(Natural Science), 2009, 32(11) |
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| Authors: | LIU Zuo-jun ZHANG Jie YANG Peng CHEN Ling-ling |
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| Abstract: | Expert systems may improve the control effect of some complex systems without a math-ematic model. However, to build the experience database of expert systems is difficult because the control knowledge is different from each other. Iterative learning control (ILC) can produce control experience from the historical data to build up the expert system. Considering some uncertain factors, a flexible measure is adopted in ILC. The expert system based on F-ILC achieves high control performance, which is proved by an application in air conditioning system. |
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| Keywords: | iterative learning control flexibility expert system air conditioning |
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