Stochastic evaluation and optimization of the hierarchy-structured dynamic inversion flight control
Stochastic evaluation and optimization of the hierarchy-structured dynamic inversion flight control
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DOI：
10.2514/6.2009-6175
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发表时间：
2009-12
期刊：
影响因子：
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通讯作者：
J. Kawaguchi;Y. Miyazawa;Tetsujiro Ninomiya
中科院分区：
文献类型：
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作者：
J. Kawaguchi;Y. Miyazawa;Tetsujiro Ninomiya
使用层次结构动态反演（HSDI）方法提出了一种飞行控制设计方法，该方法基于通用固定翼飞机动力学的多个时间尺度分离。 HSDI方法集成了传统的制导和控制结构，以少量的设计参数实现了飞行控制系统的简单、系统和通用设计。在本文中，使用指令速率前馈对 HSDI 进行了修改，以提高控制性能。然后通过平方根 (RSS) 分析和蒙特卡罗模拟 (MCS) 评估 HSDI 方法的稳健性。最后使用 downhillsimplex 方法和 MCS 评估对设计参数进行优化以增强鲁棒性。数值模拟基于ALFLEX实验飞行器高可靠的6DOF非线性飞行仿真模型，定义了100多个不确定参数的分布数据。本文讨论的详细数值分析表明，优化后的 HSDI 飞行控制器的鲁棒性能与同样经过类似优化的基线线性鲁棒控制器相当。
A flight control design methodology has been presented using the hierarchy-structured dynamic inversion (HSDI) approach, which is based on multiple time-scale separation of a general fixed-wing aircraft dynamics. HSDI approach integrates traditional guidance and control structures to realize simple, systematic, and universal design of flight control systems with a small number of design parameters. In this paper, HSDI is modified using command rate feedforward to improve control performance. Robustness of HSDI approach is then evaluated through the root sum square (RSS) analysis and Monte Carlo simulations (MCS). The design parameters are finally optimized to enhance robustness using the downhillsimplex method and MCS evaluation. The numerical simulations are based on the highly reliable 6DOF nonlinear flight simulation model of ALFLEX experimental vehicle, where the distribution data for more than 100 uncertain parameters are defined. The detailed numerical analysis discussed in this paper has shown that robustness performance of the optimized HSDI flight controller is comparable to that of the baseline linear robust controller, which is also similarly optimized.