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基于改进的CMAC神经网络与PID并行控制的研究
引用本文:张伟,朱大奇,孔敏,李武朝. 基于改进的CMAC神经网络与PID并行控制的研究[J]. 计算机测量与控制, 2005, 13(12): 1359-1361
作者姓名:张伟  朱大奇  孔敏  李武朝
作者单位:江南大学,通信与控制工程学院,江苏,无锡,214000;江南大学,通信与控制工程学院,江苏,无锡,214000;江南大学,通信与控制工程学院,江苏,无锡,214000;江南大学,通信与控制工程学院,江苏,无锡,214000
摘    要:提出一种改进的CMAC神经网络控制算法,利用满打满葬单元的先前学习次数作为可信度;将改进的CMAC与PID实现复合控制,由CMAC控制器实现前馈控制,PID控制实现反馈控制;仿真表明,改进算法的响应速度和精度有一定的改善。

关 键 词:CMAC  PID  神经网络
文章编号:1671-4598(2005)12-1359-02
修稿时间:2005-05-18

Research of CMAC Neural Network and PID Controller Based on Improvement
Zhang Wei,Zhu Daqi,Kong Min,Li Wuzhao. Research of CMAC Neural Network and PID Controller Based on Improvement[J]. Computer Measurement & Control, 2005, 13(12): 1359-1361
Authors:Zhang Wei  Zhu Daqi  Kong Min  Li Wuzhao
Abstract:An improved CMAC neural network controlling algorithm was designed,and the former learned times of the addressed hypercubes was used as the credibility.In this algorithm CMAC neural network was compound with PID algorithm,the feed forward control was realized by CMAC controller while the feed back control was realized by PID controller.Simulation demonstrates that the learning rate and accuracy have been improved.
Keywords:CMAC  PIDn  neural network
本文献已被 CNKI 维普 万方数据 等数据库收录!
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