【作者】 仉宝玉； 吴志敏；

【Author】 ZHANG Bao-yu WU Zhi-min (Liaoning university of petroleum & chemical technology,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智能PID控制方案,用神经网络辨识器和神经网络控制器组成控制系统。其中辨识器采用对角递归神经网络,网络结构为2-4-1;控制器为两层线性结构的神经网络,其输入为系统偏差及其一阶、二阶微分,因此具有增量型PD控制结构。对一非线性系统进行仿真,仿真结果表明该控制方案具有良好的自适应能力和较强的鲁棒性。更多还原

【Abstract】 The intelligent PID control scheme based on diagonal recurrent neural network is presented. The control system is consisted of the neural network identifier and the neural network controller.The identifier is a diagonal recurrent neural network,the structure of the network is 2-4-1.The controller is a neural network with two-layer linear structure.The input of the controller is the system deviation,the one and two ladder differential,so it has the mechanism which is similar to the PID controller with incremental form.The control system is used to control a nonlinear system and the result shows the control scheme has good adaptive ability and robustness.更多还原