| 多智能体技术在张力协调控制中的应用 |
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| 引用本文： | 瞿成明,凌有铸,江明,陈其工.多智能体技术在张力协调控制中的应用[J].机电工程,2006,23(6):37-40. |
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| 作者姓名： | 瞿成明 凌有铸 江明 陈其工 |
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| 作者单位： | 安徽工程科技学院,电气工程系,安徽,芜湖,241000 |
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| 摘 要： | 在纤维、造纸、塑料及金属镀膜工业中,对线状、带状及面状弹性材料卷取张力的控制是关系其产品质量的关键技术。介绍了一种动态贝叶斯网络训练算法的多智能体技术,该方法有效地减弱了张力控制系统中各轴速度、张力之间的耦合作用。仿真结果表明,该算法具有良好的自学习和自适应性能。
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| 关 键 词： | 多智能体 动态贝叶斯网络 张力协调控制 |
| 文章编号： | 1001-4551(2006)06-0037-04 |
| 收稿时间： | 2006-02-13 |
| 修稿时间： | 2006年2月13日 |
The Application of Multi-agent Technology in the Tension Coordination Control System |
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| QU Cheng-ming,LING You-zhu,JIANG Ming,CHEN Qi-gong.The Application of Multi-agent Technology in the Tension Coordination Control System[J].Mechanical & Electrical Engineering Magazine,2006,23(6):37-40. |
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| Authors: | QU Cheng-ming LING You-zhu JIANG Ming CHEN Qi-gong |
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| Affiliation: | Departmeut of Electrical Engineering, Anhui University of Technology and Science, Wuhu 241000, China |
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| Abstract: | In the field of fiber,paper making,plastic and metal plating,one of the key techniques to guarantee the product quality is the control of winding tension of linear,strip and area materials.A kind of multi-agent technology with dynamic Bayesian networks training algorithm was introduced.This method effectively weakened the coupling action(between) the velocity and tension of the tension control system.Simulation results indicated the favorable self-learning and(adaptive) effect of the control algorithm. |
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| Keywords: | multi-agent dynamic bayesian networks tension coordination control |
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