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Fuel Injection Control and Simulation of EFI engine Based on ANFIS

机译:基于ANFIS的电喷发动机燃油喷射控制与仿真。

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EFI engine's ECU through a fixed pre-set supply procedures to control fuel injection time, however, the pre-set data can only be reached through a large number of tests. How to attain to pre-set data efficiently and how to dynamically adjust the fuel injection time according to the traffic circumstance are currently the hot issues in Engine Electronic Control Simulation field. In this paper, aiming at the problem of fuel-oil supply control of EFI engine, a hybrid method which combines the fuzzy theory and neural network-Adaptive Network-based Fuzzy Inference System is presented, taking into consideration the characteristics of the EFI engine's structure. The structure, composition and working procedure of the ANFIS system used for fuel-oil supply control of EFI engine are studied and discussed. A simulation result is also given in this paper.
机译:EFI引擎的ECU通过固定的预设供应程序来控制燃油喷射时间,但是,预设数据只能通过大量测试才能获得。如何有效地获得预先设置的数据以及如何根据交通情况动态地调整燃油喷射时间是当前发动机电子控制仿真领域的热点问题。针对电喷发动机的燃油供应控制问题,结合电喷发动机的结构特点,提出了一种将模糊理论与神经网络相结合的混合方法—基于自适应网络的模糊推理系统。 。研究并讨论了用于电喷发动机燃油供应控制的ANFIS系统的结构,组成和工作程序。本文还给出了仿真结果。

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