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基于模糊神经网络的涡扇发动机加速控制 被引量:1

NEUROFUZZY BASED CONTROL TO ACCELERATING PROCESS OF TURBOFAN AEROENGINE
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摘要 采用模糊神经网络对某型涡扇发动机加速过程进行自适应控制 ,为了进一步提高系统性能 ,采用遗传算法和BP算法相结合的方式 ,对系统分别进行了离线和在线优化。仿真结果表明 。 The fuzzy neural network adaptive controller is designed to control the accelerating process of the turbo-fan aero engine GA and BP algorithm is combined to optimize the controller parameters GA is used to optimize the control system offline and BP algorithm is also used online to improve the performance of the control system Through simulation, the results show that the fuzzy neural network controller behaves effectively
出处 《飞机设计》 2002年第3期71-74,共4页 Aircraft Design
关键词 模糊神经网络 非线性控制 遗传算法 航空发动机 涡轮风扇发动机 turbofan aeroengine fuzzy neural network intelligence control non-linear control genetic algorithm
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