基于免疫原理的发动机工况参数负荷的多模态测量

The Multimode Measurement Based on Immune Principle for the Load of Car-engine Job Status Parameter

针对现有负荷测量方法难以同时满足测量精度、稳态响应、动态响应要求的难题,提出了一种基于免疫原理的发动机负荷多模态测量方法。该方法很好地融合了发动机工况模糊判断和基于免疫原理在线调节工况稳定域的优势。讨论了工况模糊识别和模态切换方法。探讨了基于免疫神经网络的工况稳定域在线自适应调节。结果表明,发动机动力性、燃油经济性和加减速性能得到了明显改善。

The excess air coefficient and the spark advance angle are decided mainly by the load and rotate speed of car-engine job status parameters. They are of important influence to the power, fuel economy and exhaust emission of a car-engine. A new method of multimode load measurement based on immune principle was proposed, aiming at the problem that existing load measure methods are difficult to satisfy the need on measurement precision, steady state and dynamic response at the same time. It absorbs well the advantages both car-engine job statuses fuzzy judgment and on-line regulating the stability domain of the job statuses. The job status fuzzy judgment and mode switching were probed. It was discussed as well that the stability domain is real-time regulated based on immune nerve network. The experiment results demonstrate that the performances of power, fuel waste, speedup and speed-down are all improved obviously.