| 电加热炉计算机控制系统 |
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| 引用本文： | 王宝库.电加热炉计算机控制系统[J].微电子学与计算机,2006,23(5):69-71,75. |
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| 作者姓名： | 王宝库 |
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| 作者单位： | 辽宁工程技术大学,辽宁,阜新,123000 |
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| 摘 要： | 文章以电加热炉为被控对象,通过对电加热炉对象特性的分析来确定电加热炉系统的构成及控制方案（策略）.文章在不建立电加热炉数学模型的情况下,实现了电加热炉炉温的单神经元自适应PID智能控制和单神经元自适应PSD智能控制.算法仿真结果表明：单神经元自适应PSD智能控制算法简单,效果较好,有一定的实用价值.
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| 关 键 词： | 电加热炉 神经元 自适应 智能控制 算法 |
| 文章编号： | 1000-7180(2006)05-003 |
| 收稿时间： | 2005-09-29 |
| 修稿时间： | 2005-09-29 |
Design of Electric Heating Furnace Computer Control System |
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| WANG Bao-ku.Design of Electric Heating Furnace Computer Control System[J].Microelectronics & Computer,2006,23(5):69-71,75. |
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| Authors: | WANG Bao-ku |
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| Affiliation: | Liaoning Technical University, Fuxin 123000 China |
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| Abstract: | Electric heating furnace is the controlled target of this article. By analyzing the characteristic of electric heating furnace ,we can determinate the constitution and control schema of electric heating furnace control system.Under the circumstance of not establishing the mathematical model of electric heating furnace ,this article fulfill single neuron adaptive PID (proportion?integral and differential) and intelligent control single neuron adaptive PSD (proportion?summation and differential) intelligent control of electric heating furnace successfully .The results of algorithm simulation prove that single neuron adaptive PSD intelligent control algorithm is simple and its effect is good. It has very high practical value. |
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| Keywords: | Electric heating furnace Single neuron Adaptive intelligent control Algorithm |
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