| 利用神经网络进行综合机构的建模和控制 |
| |
| 引用本文： | 袁中凡,廖俊必,赵世平. 利用神经网络进行综合机构的建模和控制[J]. 北京科技大学学报, 2003, 25(3): 277-279 |
| |
| 作者姓名： | 袁中凡 廖俊必 赵世平 |
| |
| 作者单位： | 四川大学制造科学与工程学院,成都,610065 |
| |
| 基金项目： | 教育部科学技术研究项目;教外司留[2002247号; |
| |
| 摘 要： | 介绍了逆模型超前控制器，神经网络反馈单元及由5层神经网络组成的集成控制系统。集成控制系统包括一个由神经网络组成的系统模型和具有自调整功能的控制单元。该方法被用于优化设计的综合机构控制仿真，结果证明了它的先进性和可行性。
|
| 关 键 词： | 综合机构 建模方法 动力学模型 集成控制系统 神经网络 逆模型超前控制器 |
| 修稿时间： | 2002-11-08 |
Modelling and Control of Hybrid Mechanisms Using Neural Network |
| |
| YUAN Zhongfan,LIAO Junbi,ZHAO ShipingSchool of Manufacturing Science and Engineering,Sichuan University,Chengdu ,China. Modelling and Control of Hybrid Mechanisms Using Neural Network[J]. Journal of University of Science and Technology Beijing, 2003, 25(3): 277-279 |
| |
| Authors: | YUAN Zhongfan LIAO Junbi ZHAO ShipingSchool of Manufacturing Science Engineering Sichuan University Chengdu China |
| |
| Affiliation: | YUAN Zhongfan,LIAO Junbi,ZHAO ShipingSchool of Manufacturing Science and Engineering,Sichuan University,Chengdu 610065,China |
| |
| Abstract: | 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. |
| |
| Keywords: | hybrid machine controller neuron network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
