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<p class="MsoNormal" style="MARGIN: 0cm 0cm 0pt; TEXT-INDENT: 21pt; LINE-HEIGHT: 150%; mso-char-indent-count: 2.0;"><line id="_x0000_s1026" to="373.85pt,18.35pt" from="99.35pt,18.35pt" style="Z-INDEX: 251656704; LEFT: 0px; POSITION: absolute; TEXT-ALIGN: left;"><wrap anchorx="page"></wrap></line><span style="FONT-SIZE: 14pt; LINE-HEIGHT: 150%; FONT-FAMILY: 宋体; mso-bidi-font-size: 12.0pt;">题目<span lang="EN-US"><span style="mso-spacerun: yes;"></span></span></span><font face="Times New Roman"><span lang="EN-US" style="FONT-SIZE: 14pt; LINE-HEIGHT: 150%; mso-bidi-font-size: 18.0pt; mso-bidi-font-weight: bold;"><span style="mso-spacerun: yes;">
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</span></span></font><span style="FONT-SIZE: 16pt; LINE-HEIGHT: 150%; FONT-FAMILY: 黑体;">自适应温控系统</span><span lang="EN-US" style="FONT-SIZE: 14pt; LINE-HEIGHT: 150%; mso-bidi-font-size: 12.0pt;"><p></p></span></p><p class="MsoNormal" style="MARGIN: 0cm 0cm 0pt; LINE-HEIGHT: 150%;"><span lang="EN-US" style="FONT-SIZE: 14pt; LINE-HEIGHT: 150%; FONT-FAMILY: 宋体; mso-bidi-font-size: 12.0pt;"><span style="mso-spacerun: yes;">
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</span></u></span></span><u><span style="FONT-SIZE: 12pt; LINE-HEIGHT: 150%; FONT-FAMILY: 宋体;">智能<span lang="EN-US">PID</span>，双模糊<span lang="EN-US">PID</span>控制，自适应神经元，模糊神经，温控系统</span></u><font face="Times New Roman"><u><span style="FONT-SIZE: 12pt; LINE-HEIGHT: 150%; mso-bidi-font-weight: bold;">
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</span></span></u><span lang="EN-US" style="FONT-SIZE: 14pt; LINE-HEIGHT: 150%; mso-bidi-font-size: 12.0pt;"><p></p></span></font></p><p class="MsoNormal" align="center" style="MARGIN: 0cm 0cm 0pt; LINE-HEIGHT: 150%; TEXT-ALIGN: center;"><span style="FONT-SIZE: 18pt; LINE-HEIGHT: 150%; FONT-FAMILY: 隶书; mso-bidi-font-size: 12.0pt; mso-hansi-font-family: 宋体;">摘要：<span lang="EN-US"><p></p></span></span></p><p class="MsoNormal" style="MARGIN: 0cm 0cm 0pt;"><span lang="EN-US" style="FONT-SIZE: 12pt;"><span style="mso-tab-count: 1;"><font face="Times New Roman">
</font></span></span><span style="FONT-SIZE: 12pt; FONT-FAMILY: 宋体; mso-ascii-font-family: "Times New Roman"; mso-hansi-font-family: "Times New Roman";">对温控系统的自适应性进行研究，针对冷库制冷系统的数学模型未知或难于获取、非线性、大惯性、不确定时滞以及时变参数不确定的特点，设计了自适应智能</span><span lang="EN-US" style="FONT-SIZE: 12pt;"><font face="Times New Roman">PID</font></span><span style="FONT-SIZE: 12pt; FONT-FAMILY: 宋体; mso-ascii-font-family: "Times New Roman"; mso-hansi-font-family: "Times New Roman";">温控系统。本文设计的温控系统能够充分发挥模糊控制和神经网络的优点，通过对</span><span lang="EN-US" style="FONT-SIZE: 12pt;"><font face="Times New Roman">PID</font></span><span style="FONT-SIZE: 12pt; FONT-FAMILY: 宋体; mso-ascii-font-family: "Times New Roman"; mso-hansi-font-family: "Times New Roman";">参数进行在线整定，达到良好的自适应效果。</span><span lang="EN-US" style="FONT-SIZE: 12pt;"><p></p></span></p><p class="MsoNormal" style="MARGIN: 0cm 0cm 0pt;"><span lang="EN-US" style="FONT-SIZE: 12pt;"><span style="mso-tab-count: 1;"><font face="Times New Roman">
</font></span></span><span style="FONT-SIZE: 12pt; FONT-FAMILY: 宋体; mso-ascii-font-family: "Times New Roman"; mso-hansi-font-family: "Times New Roman";">在不建立被控对象数学模型的情况下，模糊预估器通过对过程未来输出的预估作用，补偿被控过程的惯性和滞后对控制系统性能的影响。模糊控制器对被控对象的时滞、非线性、时变性具有一定的适应能力，同时对噪声也有较强的抑制能力，鲁棒性较好。模糊控制器本身消除系统误差的性能较差，并且规则的选取困难，而在本温控系统中经验知识是难以描述的。自适应神经元能从数据样本中自动改变模糊变量因子，从而修正模糊规则，而不必利用领域知识。自适应神经模糊推理系统</span><span lang="EN-US" style="FONT-SIZE: 12pt;"><font face="Times New Roman">(ANFIS)</font></span><span style="FONT-SIZE: 12pt; FONT-FAMILY: 宋体; mso-ascii-font-family: "Times New Roman"; mso-hansi-font-family: "Times New Roman";">能直接对误差、误差变化率以及控制器输出进行学习产生较优的模糊规则。</span><span lang="EN-US" style="FONT-SIZE: 12pt;"><p></p></span></p><p class="MsoNormal" style="MARGIN: 0cm 0cm 0pt; TEXT-INDENT: 21pt;"><span style="FONT-SIZE: 12pt; FONT-FAMILY: 宋体; mso-ascii-font-family: "Times New Roman"; mso-hansi-font-family: "Times New Roman";">本文对自适应双模糊</span><span lang="EN-US" style="FONT-SIZE: 12pt;"><font face="Times New Roman">PID</font></span><span style="FONT-SIZE: 12pt; FONT-FAMILY: 宋体; mso-ascii-font-family: "Times New Roman"; mso-hansi-font-family: "Times New Roman";">控制模型、自适应神经元双模糊控制模型和自适应神经模糊推理系统</span><span lang="EN-US" style="FONT-SIZE: 12pt;"><font face="Times New Roman">PID</font></span><span style="FONT-SIZE: 12pt; FONT-FAMILY: 宋体; mso-ascii-font-family: "Times New Roman"; mso-hansi-font-family: "Times New Roman";">控制模型进行了建模和仿真。仿真结果表明，合理的基于神经和模糊的自适应智能</span><span lang="EN-US" style="FONT-SIZE: 12pt;"><font face="Times New Roman">PID</font></span><span style="FONT-SIZE: 12pt; FONT-FAMILY: 宋体; mso-ascii-font-family: "Times New Roman"; mso-hansi-font-family: "Times New Roman";">控制器，既能发挥模糊控制鲁棒性能、动态响应好，上升时间快，超调小的特点，又具有神经网络所具有的自学习、自适应、容错性和并行性相结合的一种方法；同时有</span><span lang="EN-US" style="FONT-SIZE: 12pt;"><font face="Times New Roman">PID</font></span><span style="FONT-SIZE: 12pt; FONT-FAMILY: 宋体; mso-ascii-font-family: "Times New Roman"; mso-hansi-font-family: "Times New Roman";">控制器的动态跟踪品质和稳态精度，取得了较好效果，具有良好的工程应用前景。</span><span lang="EN-US" style="FONT-SIZE: 12pt;"><p></p></span></p><p><p><br/></p></p>
[此贴子已经被作者于2008-4-16 23:43:23编辑过] xiexie lz
kankan 看看，貌似挺有用:victory: 那先下载来再说。我以为很有用的。。。。。。。。
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