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Optimization of Fuel Injection Control System of Two-Stroke Aeroengine of UAV

机译:无人机两冲程航空发动机燃油喷射控制系统的优化

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Power efficiency of two-stroke spark-ignition engine is generally low because improper amount of fuel injection leads to a lot of unburned fuel loss during the engine working process. However, parameters of the fuel injection system are hard to confirm by aviation experiments due to expensive test costs. This paper proposes a method of calibrating injection parameters of two-stroke spark-ignition engine based on thermodynamic simulation and parameter optimum algorithm. Firstly, the one-dimensional thermodynamic model is built according to the internal structure and thermodynamic process of the engine; then, the model parameters are corrected according to the operating principle of the injector; after experimental verification of the model, considering both the engine power sufficiency and fuel economy, Analytic Hierarchy Process method is applied to look for the optimal injection amount and fuel injection advance angle at different engine working speeds; finally, an aeroengine experiment station with an electronic fuel injector system is built. Through simulation and experiment studies, it can be seen that when the engine speed changes from 3000 to 3500?RPM, the oil consumption rate of the optimal results is higher than that of the previous ones; when the aeroengine speed is higher than 4000?RPM, the oil consumption rate results of the optimal method are 10% to 27% higher than the original results. This paper can be a reference in the optimization of UAV aircraft engine.
机译:两冲程火花点火发动机的功率效率通常很低,因为在发动机工作过程中燃油喷射量不当导致大量未燃烧的燃料损失。然而,由于昂贵的测试成本,燃料喷射系统的参数难以通过航空实验确认。本文提出了一种基于热力学仿真和参数最优算法校准双程火花点火发动机注射参数的方法。首先,根据发动机的内部结构和热力学过程建立一维热力学模型;然后,根据喷射器的操作原理校正模型参数;在模型实验验证后,考虑到发动机功率充足和燃料经济性,应用分析层次处理方法以寻找不同发动机工作速度的最佳喷射量和燃料喷射前进角;最后,建造了具有电子燃料喷射器系统的航空发动机实验站。通过模拟和实验研究,可以看出,当发动机速度从3000变为3500℃时,最佳结果的油耗率高于前一个;当航空发动机速度高于4000℃时,最佳方法的油耗结果比原始结果高10%至27%。本文可以参考UAV飞机发动机的优化。

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