基于遗传算法的柴油机电控参数实时优化

Real Time Optimization of Electronic Control Parameters of Diesel Engine Based on Genetic Algorithm

为使发动机满足日益严格的排放法规要求同时使其具有较好的燃油经济性,采用柴油机性能与运转参数间神经网络模型,将遗传算法嵌入DSP中实现了电控参数的实时优化。在实验台上验证了神经网络建模和遗传算法相结合在线寻优的最优控制MAP生成技术的可行性。

In order to make diesel engines meet the requirements of increasingly stringent emission regulations and realize higher fuel economy performance, this paper adopts a model of the neural network model between diesel engine performance and operation parameters, in which the Genetic algorithm is embedded in DSP so that a real time optimization of electronic control parameters is realized. The feasibility of real time optimization of MAP generation technique through a combination of the neural network and genetic algorithm is verified in experiment.