| 基于RCMAC网络的动态逆再入制导方法研究 |
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| 引用本文： | 吴浩,杨业. 基于RCMAC网络的动态逆再入制导方法研究[J]. 空间控制技术与应用, 2011, 37(4): 49-53. DOI: 10.3969/j.issn.1674-1579.2011.04.010 |
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| 作者姓名： | 吴浩 杨业 |
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| 作者单位： | 北京航天自动控制研究所,北京,100854 |
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| 摘 要： | 针对升力式再入飞行器的制导问题，首先利用准平衡滑翔原理给出标准的阻力加速度．速度剖面，并对阻力加速度跟踪制导原理进行分析，然后利用自回归小脑模型神经网络（RCMAC）网络良好的非线性逼近能力、泛化能力和自学习能力，采用基于RCMAC网络的动态逆方法实现对阻力加速度的跟踪，并证明闭环系统的稳定性．三自由度仿真结果表明，该制导方式降低了动态逆方法对模型的依赖，增强了制导系统的鲁棒性．
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| 关 键 词： | 升力式再入飞行器 自回归小脑模型神经网络（RCMAC） 动态逆 阻力加速度跟踪 再入制导 |
Dynamic Inversion Reentry Guidance Based on RCMAC Network |
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| WU Hao,YANG Ye. Dynamic Inversion Reentry Guidance Based on RCMAC Network[J]. Aerospace Contrd and Application, 2011, 37(4): 49-53. DOI: 10.3969/j.issn.1674-1579.2011.04.010 |
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| Authors: | WU Hao YANG Ye |
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| Affiliation: | WU Hao,YANG Ye(Beijing Aerospace Automatic Control Institute,Beijing 100854,China) |
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| Abstract: | Aimed at reentry guidance problem for lifting reentry vehicle,a dynamic inversion reentry guidance based on RCMAC is proposed.First,a nominal drag acceleration-velocity profile is given according to the quasi-equilibrium principle,and the drag acceleration tracking guidance method is analyzed.Then,taking advantage of the nonlinear approximation ability,generalization ability and self-learning ability,RCMAC network is integrated in the dynamic inversion method to track drag acceleration.In the end,stability ... |
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| Keywords: | lifting reentry vehicle recurrent cerebellar model articulation controller(RCMAC) dynamic inversion drag acceleration tracking reentry guidance |
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