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基于神经网络的旁路活门自适应控制
引用本文:俞忠原,顾信佩,曹进.基于神经网络的旁路活门自适应控制[J].实验流体力学,1996(1).
作者姓名:俞忠原  顾信佩  曹进
作者单位:上海大学,上海宝山钢铁厂
摘    要:FL-7风洞旁路活门非线性控制系统稳M数神经网络自适应控制中的网络拓扑结构,权值调整,自构性学习,及其实现方法表明,整个系统控制性能优良,不仅控制精度高,而且节省燃油,可靠性性能良好。

关 键 词:自适应控制  拓扑结构  神经网络

ANN-BASED ADAPTIRE CONTROL FOR BY-PASS VALVES
Yu Zhongyuan,Gu Xinpei,Cao Jiu.ANN-BASED ADAPTIRE CONTROL FOR BY-PASS VALVES[J].Experiments and Measur in Fluid Mechanics,1996(1).
Authors:Yu Zhongyuan  Gu Xinpei  Cao Jiu
Institution:Yu Zhongyuan;Gu Xinpei;Cao Jiu(Shanghai University)(Baoshan Steel Works)
Abstract:In this paper,ANN-based adaptive control for stable M of FL-7 wind tunnel by-pass valves nonlinear control system is introduced, and network topology architecture, connection weight adjustment,selfconfiguring learning, their implementation are studied. The simulation proves that this control system is precise,less oil consumptive,reliable and quickly responsive.
Keywords:adaptive control  topology architecture  ANN (Artificial neural network)
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