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Experimental identification of the small turbojet engine MPM-20

机译:小型涡轮喷气发动发动机MPM-20的实验识别

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This article deals with modelling of a small turbojet engine MPM-20 through programming environment Matlab and Simulink extension. The article describes methods of experimental identification (the method of successive integration, the area method, artificial neural network) along with their application to the measured engine parameter data obtained by testing in the Laboratory of Intelligent Control Systems of Jet Engines.
机译:本文通过编程环境Matlab和Simulink扩展,涉及小型涡轮喷气发动发动机MPM-20的建模。 本文介绍了实验识别(连续集成,区域方法,人工神经网络的方法,其应用于通过在喷射发动机的智能控制系统的实验室中测试获得的测量发动机参数数据。

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