基于模糊神经网络控制的飞机发电机调压系统设计  

Design of Aircraft Generator Voltage-regulating System Based on Fuzzy Logic and Artificial Neural Networks

作　　者：夏远飞[1] 曹永鹏[2] 

机构地区：[1]华中科技大学,湖北省武汉市430074 [2]空军第一航空学院,河南省信阳市464000

出　　处：《电子工程师》2006年第6期57-59,共3页Electronic Engineer

摘　　要：传统的飞机发电机电压自动调节系统不仅重量大,且供电品质差,无法满足现代飞机日益增长的战术技术指标要求。文中提出的基于模糊控制和神经网络理论,对现有飞机发电机电压自动调节系统进行改进,利用单片机实现模糊实时控制,并用数字信号处理器(DSP)在嵌入式系统中实现了神经网络算法。实验结果表明,新一代飞机发电机电压自动调节系统具有更高的准确性、稳定性和快速性,供电品质得到大幅度提高,可靠性增强。The traditional aircraft generator automatic voltage - regulating system can not satisfy the increasing tactical and technological demands of the advanced aircraft, because of its power supply of poor quality and heavy weight. In this paper, based on the principles of fuzzy control and neural networks, we present a method to improve the present aircraft generator voltage-regulating system. This improved automatic voltageregulating system uses SCM （ Single Chip Machine） to realize the fuzzy real time control and applies DSP （ Digital Signal Processor） to realize the neural network algorithm in the embedded-in computer system. Tested by experiment, this new automatic vohage-regulating system provides power supply of higher quality and much more reliability as the result of the improvements of accuracy, stability and quickness of power supply.

关 键 词：数字信号处理 电压自动调节系统 神经网络 模糊控制 

分 类 号：TP272[自动化与计算机技术—检测技术与自动化装置] TP183[自动化与计算机技术—控制科学与工程]