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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。
In view of the difficulty that existing load measurement methods can not meet the requirements of measurement precision, steady state response and dynamic response at the same time, a multi-modal measurement method of engine load based on immune principle is proposed. This method well integrates the advantages of fuzzy judgment of engine working condition and on-line adjustment of working condition stable region based on immune principle. The method of fuzzy recognition and modal switching is discussed. This paper discusses the online adaptive adjustment of working condition stable region based on immune neural network. The results show that the engine power, fuel economy and acceleration and deceleration performance has been significantly improved.