天然气发动机空燃比智能控制策略的研究

The Study of Natural Gas Engine AFR Intelligent Control Strategy

该文详细介绍了基于神经网络的控制器在天然气发动机空燃比中的控制实现 ,并用Matlab进行了仿真。仿真结果表明 ,其控制效果优于基于PID的控制器。所研究的基于单神经元控制器的学习算法在工程上易于实现 ,在发动机空燃比控制的工程应用中有很好的前景。

The Paper describes the neural network controller used in AFR control system of natural gas engine and the corresponding simulation was carried on wit h Matlab. The simulation results prove that the neural network controller works better than PID controller. Because the learning arithmetic of the single-neuron controller is prone to realization in project, it provides the promising method that can be used in the project of AFR control in natural gas engine.