自适应飞机驾驶员最优控制模型研究及应用

发布时间：2018-01-31 03:35

本文关键词： 着舰驾驶员模型最优控制未知扰动状态估计　出处：《航空学报》2016年04期 　论文类型：期刊论文

【摘要】：针对驾驶员最优控制模型(OCM)无法反映飞行员在未知环境下渐进适应过程这一缺点,采用自适应状态估计理论对OCM进行改进,建立了基于自适应状态估计的驾驶员最优控制模型(MOCM-AE),给出了算法流程。通过对比飞行试验数据和未知扰动下的着舰应用,对模型进行了评估。通过人机闭环仿真进行了飞行试验再现,得到了人机闭环频域曲线。对比结果表明,与OCM相比MOCM-AE的频域特性曲线与试验更为吻合。在着舰应用中,引入低空紊流作为未知扰动进行着舰仿真,结果表明OCM强烈依赖于先验经验,而MOCM-AE无论是否具有先验经验,无论是否存在未知扰动,均能取得良好着舰效果。在未知扰动和舰尾流影响下,MOCM-AE比传统OCM着舰精度提高59%,着舰点分布范围缩小29%,这体现了飞行员对未知环境的适应能力。
[Abstract]:According to the pilot optimal control model (OCM) can not reflect the gradual pilot in an unknown environment to adapt to this defect process, using the adaptive state estimation theory to improve OCM, established a pilot optimal control model based on adaptive state estimation (MOCM-AE), gives the algorithm process. Through the ship application comparison of flight test data and unknown disturbances a model of evaluation. Through the man-machine closed loop simulation of flight test of reproduction, has been closed loop frequency domain curve. The comparison results show that compared with the OCM frequency characteristic curve and test of MOCM-AE are more consistent. Landing on the application, introduced low turbulence as unknown disturbance landing simulation, the results show that OCM strongly depends on prior experience, and MOCM-AE whether or not with prior experience, regardless of whether there is an unknown disturbance, can achieve good landing effect. In the unknown disturbance And wake under the influence of MOCM-AE increased by 59% compared with the traditional OCM landing precision, landing point distribution range is reduced by 29%, which reflects the ability to adapt to the pilots of the unknown environments.

【作者单位】：海军航空工程学院;北京航空航天大学航空科学与工程学院;
【基金】：国家自然科学基金(51505493,91116019) 国家“973”计划(2011CB707002)~~
【分类号】：V249
【正文快照】： 网络出版地址:www.cnki.net/kcms/detail/11.1929.V.20150901.1429.012.html引用格式:刘嘉,向锦武,张颖,等.自适应飞机驾驶员最优控制模型研究及应用[J].航空学报,2016,37(4):1127-1138.LIU J,XIANG J W,ZHANG Y,et al.Research and application of adaptive optimal control

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