摘要
在对多电飞机电动压气机系统结构和工作原理介绍的基础上,采用神经网络的方式对系统关键部件——压气机进行建模,研究神经网络的方式进行压气机建模的可行性,确定了基于压气机特性曲线的电动压气机神经网络模型。利用Matlab/Simulink软件建立电动压气机驱动系统模型,仿真验证系统具有较好的动态、稳态性能,通过理论分析和仿真实验验证了基于神经网络的多电飞机电动压气机模型的正确性、合理性。
In this paper,a neural network is used to model the compressor,the key component of the system,based on the introducing of the structure and working principle of multi aircraft electric compressor system. The feasibility of neural network modeling for compressor modeling is investigated and the neural network model of compressor based on compressor characteristic curve is determined. Finally,the modeling of electric drive compressor system is established based by Matlab/Simulink and the system has good dynamic and steady state performance validated by simulation. The feasibility and validity of electric drive compressor in MEA based on neural network is verified by theoretical analysis and simulation experiments.
作者
姜春燕
李红燕
JIANG Chun-yan;LI Hong-yan(Flight College,Jiangsu Aviation Technical College,Zhenjiang 212003,China)
出处
《航空计算技术》
2018年第4期74-77,共4页
Aeronautical Computing Technique
