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机构地区:[1]北京航空航天大学航空科学与工程学院,北京100083
出 处:《北京航空航天大学学报》2006年第2期135-138,共4页Journal of Beijing University of Aeronautics and Astronautics
基 金:航空科学基金资助项目(02A51045)
摘 要:舰载机在航母上降落面临着极其复杂的环境,末端进舰阶段需要降落信号员(LSO)的信号指引,在舰载机的人机系统仿真模型中,需要包括LSO的模型.分析了舰载机进舰飞行过程中LSO的作用和行为特征.针对LSO对飞行距离、航迹偏差判断和指令决策的行为特征,采用模糊逻辑建立了相应的行为模型.针对LSO对舰船运动预测的行为特征,利用神经网络建立其行为模型,对几种典型进舰情况进行仿真,验证LSO模型的合理性.The landing environment of carrier-based aircraft is extremely complex. The pilot needs to get the secondary command signal from landing signal officer(LSO) for final carrier approach and landing. It is necessary to include the LSO command model in the simulation model of carrier landing approach for human pilot control. On the basis of analyzing the behaviors of the LSO in the final carrier approach, a model of LSO was presented for the digi- tal simulation of a pilot-carrier system. Fuzzy logic laws were used to model three kinds of the behaviors of the LSO:the judgment of the distance between the aircraft and the ship, the judgment of the path deviation and the decision of the command signal sent to the pilot. A neural network model was applied to describe the LSO' s prediction of the ship motion. The rationality of the model was verified through the simulation results of carrier landing under several kinds of conditions
关 键 词:降落信号员 建模 神经网络 模糊控制 舰载飞机 进舰
分 类 号:V212.1[航空宇航科学与技术—航空宇航推进理论与工程]
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