| 神经网络解耦控制在多变量控制系统中的应用 |
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| 引用本文： | 袁晓红,王旭仁,柏玲.神经网络解耦控制在多变量控制系统中的应用[J].首都师范大学学报(自然科学版),2008,29(6). |
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| 作者姓名： | 袁晓红 王旭仁 柏玲 |
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| 作者单位： | 首都师范大学信息工程学院,北京,100048 |
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| 基金项目： | 北京市教委科技发展计划
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| 摘 要： | 应用神经网络解耦控制,实现多变量系统的最优控制.通过引入神经网络环节,对多变量系统进行解耦,解耦后的子系统变为单变量系统.因此将多变量控制变成单变量控制.解耦控制采用前馈补偿器解耦,解耦补偿器采用BP神经网络结构.仿真结果表明,该控制策略具有较好的动态跟踪特性,能满足复杂多变量控制系统的控制要求.
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| 关 键 词： | 神经网络 解耦控制 最优控制 仿真 |
The Application of Neural Network Decoupling Control in Multivariable Control System |
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| Yuan Xiaohong,Wang Xuren,Bai Ling.The Application of Neural Network Decoupling Control in Multivariable Control System[J].Journal of Capital Normal University(Natural Science Edition),2008,29(6). |
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| Authors: | Yuan Xiaohong Wang Xuren Bai Ling |
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| Abstract: | The optimization control is applied to the multivariable system based on neural network decoupling control.The multivariable system is decoupled by using neural network sector.The decoupled subsystem is transformed into single variable system.Therefore the multivariable control is transformed into single variable control.Feed forward compensator decoupling is used in the decoupling control.The BP neural network structure is adopted in the decoupling compensator.Simulation results shows tha the control strategy has better dynamic tracking property and can meet the requirement for complex multivariable control system. |
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| Keywords: | neural network decoupling control optimization control simulation |
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