| 自适应模糊神经网络控制在锅炉过热汽温控制中的应用 |
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| 引用本文： | 牛培峰,张密哲,陈贵林,王怀宝,张君,窦春霞.自适应模糊神经网络控制在锅炉过热汽温控制中的应用[J].动力工程,2011,31(2). |
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| 作者姓名： | 牛培峰 张密哲 陈贵林 王怀宝 张君 窦春霞 |
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| 作者单位： | 1. 燕山大学电气工程学院,秦皇岛,066004;燕山大学工业计算机控制工程河北省重点实验室,秦皇岛,066004
2. 燕山大学电气工程学院,秦皇岛,066004 |
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| 基金项目： | 国家自然科学基金资助项目(60774028和60874023) |
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| 摘 要： | 常规的模糊控制系统不能自动地将专家知识经验转化为推理规则库,缺乏有效的方法来改进隶属度函数,而自适应神经模糊推理系统(ANFIS)将模糊逻辑和神经元相结合,采用反向传播算法和最小二乘法的混合算法来调整前提参数和结论参数,并能自动产生模糊规则.在此基础上提出了一种自适应模糊神经网络控制器,并将其应用于火电厂锅炉过热汽温控制中.结果表明:与常规的PID控制相比,该方法提高了锅炉汽温控制系统的动态稳定性和抗干扰性.
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| 关 键 词： | 锅炉 过热汽温 控制系统 自适应神经模糊推理系统 PID |
Application of Adaptive Fuzzy-neural Control for Superheated Steam Temperature of Boilers |
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| NIU Pei-feng
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ZHANG Mi-zhe
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CHEN Gui-lin
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WANG Huai-bao
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ZHANG Jun
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DOU Chun-xia.Application of Adaptive Fuzzy-neural Control for Superheated Steam Temperature of Boilers[J].Power Engineering,2011,31(2). |
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| Authors: | NIU Pei-feng ZHANG Mi-zhe CHEN Gui-lin WANG Huai-bao ZHANG Jun DOU Chun-xia |
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| Affiliation: | NIU Pei-feng~(1,2),ZHANG Mi-zhe~(1,CHEN Gui-lin~(1,WANG Huai-bao~1,ZHANG Jun~(1,DOU Chun-xia~(1,2)(1.College of Electrical Engineering,Yanshan University,Qinhuangdao 066004,China,2.Key Lab of Industrial Computer Control Engineering of Hebei Province,China) |
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| Abstract: | Traditional fuzzy systems can not automatically turn expert knowledge into inference rules and are short of effective method to improve the membership function. However,the adaptive neural-fuzzy inference system(ANFIS),which combines fuzzy logic and neural unit,and tunes the precondition parameter and conclusion parameter with back propagation algorithm and least-square method,can produce fuzzy rules automatically.On this basis,an adaptive fuzzy-neural controller was proposed and applied to superheated temp... |
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| Keywords: | boiler superheated temperature control system ANFIS PID |
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