| 变切深加工过程中的信息熵控制 |
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| 引用本文： | 常少莉,姚锡凡. 变切深加工过程中的信息熵控制[J]. 组合机床与自动化加工技术, 2005, 0(10): 59-61 |
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| 作者姓名： | 常少莉 姚锡凡 |
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| 作者单位： | 1. 顺德职业技术学院,广东,顺德,528300
2. 华南理工大学,机械工程学院,广州,510640 |
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| 摘 要： | 不确定性信息的处理是目前制造业的关键和难点,"信息熵"的应用为解决此类问题提供一种新途径,但目前国内用于实际并不多.文章以变切削深度加工过程为例,用神经网络控制,发现系统响应速度慢;改用基于信息熵的目标函数,其中选用均匀分布函数作为不确定系统的输出分布概率函数,发现响应速度提高,但震荡次数增多;后用最大熵原理来取得概率函数,取得很好的控制效果.这为熵的优化理论提供实践证明.
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| 关 键 词： | 信息熵 神经网络 切削加工 智能控制 |
| 文章编号： | 1001-2265(2005)10-0059-03 |
| 收稿时间： | 2004-09-10 |
| 修稿时间： | 2004-09-10 |
The Control Based on Information Entropy in Machining Process of Varied Cutting-depth |
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| CHANG Shao-li,YAO Xi-fan. The Control Based on Information Entropy in Machining Process of Varied Cutting-depth[J]. Modular Machine Tool & Automatic Manufacturing Technique, 2005, 0(10): 59-61 |
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| Authors: | CHANG Shao-li YAO Xi-fan |
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| Affiliation: | 1. Shunde Polytechnic, Guangdong Shunde 528300, China; 2. College of Mechanical Engineering, South China University of Technology, Guangzhou 510640, China |
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| Abstract: | How to deal with uncertain information is the key and difficult problem in the modem manufacturing, and information entropy is a good idea to the problem. In this paper, varied cutting depth process is trialed to study the application effect of entropy The output responses slow when controlled by BP nettral network. It becomes fast, but shocks more times while minimum entropy theory is applied to the controller, where the probability of output is set to uniform distributed function. Finally the controller is reversed to get the probability according to maximum entropy theory, better output is get this time. |
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| Keywords: | information entropy neural networks cutting process intelligent control |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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