Modelling and control of hybrid mechanisms using neural network

被引：0
|
作者：
Yuan, Zhongfan [1 ]
Liao, Junbi [1 ]
Zhao, Shiping [1 ]
机构：
[1] Sch. of Mfg. Sci. and Eng., Sichuan Univ., Chengdu 610065, China
来源：
Beijing Keji Daxue Xuebao/Journal of University of Science and Technology Beijing | 2003年 / 25卷 / 03期
关键词：
Computer simulation - Control equipment - Feedback control - Feedforward neural networks;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
To realize the optimized hybrid machine benefits in practice, a control system is designed. These comprise an inverse model feed-forward controller with a neural network feedback element and a integrate neural network in which the controller and plant model are combined to form a five-layer neural network. The neural network feedback element constructs a self-tuning loop. The results indicate their potential for practical use and their feasibility.
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页码：277 / 279
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