采用神经网络改善式循环柴油机的供氧控制

在氧气反馈调节的基础上，不依赖系统模型，借助神经网络的构成前馈控制器，以反馈输出引导网络权值及输出的调整，使网络逐步学成前馈补偿功能，并最在控制中占据主导地位，实现对负荷扰动的补偿。仿真结果表明，采用这一复合控制系统能有效地改善氧气控制的动态特性。

Neural Feedforward Control for Closed Cycle Diesel Oxygen Replenishment

The relatively slow response of the oxygen sensor results in the poor dynamic performance of oxygen PID control system which does not meet the dynamic requirements of the closed cycle diesel system.In this paper,the neural network is applied as a feedforward controller.Using the feedback controller output as the training error to train the network,the neural network will learn to compensate the step load changes gradually by minimizing the PID output.Two training methods are discussed.The results of the simulation show that this combining control system has a good control effect in comparison with the PID controller.