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.

引用

页码：277 / 279

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