TheResearchOnRBFFuzzyNeuralNetworkofElectrohydraul

所属分类:人工智能/神经网络/深度学习
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文件大小:59KB
下载次数:98
上传日期:2007-07-01 15:55:27
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说明:  采用模糊RBF神经网络对柴油机油门执行器位置进行控制,介绍了电液调速执行器的动态特性,设计了电液调速控制回路,本文将一种基于模糊RBF神经网络的PID控制器应用于柴油机调速控制当中,详细说明了模糊RBF神经网络控制器的设计过程,它结合了传统PID以及神经网络和模糊控制的优点,可以在线调整得到一组最优的PID控制参数。仿真结果表明该系统比传统模糊控制的响应速度快、超调小,且适应性强,具有推广价值。
(fuzzy RBFNN right Diesel throttle actuator position control, on the speed electro-hydraulic actuator and the dynamic characteristics of the design of electro-hydraulic speed control circuit, This paper will be based on fuzzy RBFNN PID controller for speed control Diesel, a detailed description of fuzzy RBF neural network controller design process, It combines the traditional PID and neural network and fuzzy control advantages online can be an adjustment Optimal Group of PID control parameters. Simulation results show that the system than the traditional fuzzy control of the fast response, small overshoot, and adaptability, is worth promoting.)

文件列表:
基于模糊RBF神经网络的柴油机电液调速系统研究.doc (156672, 2007-07-01)

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