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提高电控天然气发动机的空燃比控制精度,是改善发动机经济性、动力性和降低尾气排放的关键环节。本文将模糊神经网络与PI控制技术相结合构成一种模糊神经解耦混合控制器。新控制器在控制过程中借助模糊神经网络的自学习算法实现控制参数的在线调整。将该算法应用于天然气发动机空燃比控制中,利用宽域空燃比传感技术,通过调整喷射脉宽控制发动机的空燃比,取得了较好的控制效果。
Improving the control accuracy of the air-fuel ratio of the electronically controlled natural gas engine is a key step to improve the economy, power and exhaust emission of the engine. This paper combines fuzzy neural network and PI control technology to form a fuzzy neural decoupling hybrid controller. The new controller in the control process with fuzzy neural network self-learning algorithm to achieve online adjustment of control parameters. The algorithm is applied to the control of natural gas engine air-fuel ratio, and the wide air-fuel ratio sensing technology is adopted to control the air-fuel ratio of the engine by adjusting the injection pulse width to achieve a better control effect.