船舶柴油发电机转速神经网络模型参考自适应控制

结合人工神经网络与模型参考自适应控制，形成船舶柴油发电机转速神经网络自适应控制。对由传感器检测后获取的特征值进行归一化处理，把经过处理的特征值作为神经网络的输入样本集，设计输出样本集，建立BP神经网络和ELMAN神经网络，用整理后的数据训练神经网络，使神经网络实现转速的自适应控制功能，并对神经网络模型进行仿真测试。仿真结果表明该方法控制精度高，动、静态特性好。

Rotation Model Reference Adaptive Control of Marine Diesel Engine Generator Based on Artificial Neural Network

Rotation speed control of marine diesel engine generator is built by the combination of neural network and model reference adaptive control. By obtaining the characteristic value, making the value the input sample sets of the nerve networks, and using the data training the nerve, the nerve network has had adaptive control function. The adaptive function of the power station is realized, Simulation shows that the method has high control accuracy and good dynamic and static characteristics.