【作者】 胡玉娥；

【Author】 Yu-e HuLiaoning university of petroleum & chemical technology. Liaoning. Fushun. 113001

【机构】 辽宁石油化工大学信息工程学院；

【摘要】 提出一种基于对角递归神经网络的非线性内模控制方案,其内部模型和内模控制器的建立均由对角递归神经网络来实现,同时改进神经网络控制器的训练函数。仿真结果表明,改进的内模控制系统与基本BP神经网络内模控制系统相比,具有跟踪速度快,超调量小,以及对对象参数摄动具有较好的适应性。更多还原

【Abstract】 Nonlinear internal model control scheme based on diagonal recurrent neural network is presented. Internal model and internal model controller are established by diagonal recurrent neural network. Meanwhile, this paper improves the training function of the neural network controller. The simulation results show that improved internal control has the faster tracking performance, lesser overshoot and better adaptability than the internal control based on BP neural network.更多还原