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Characterizing model variation for robust control of flexible atmospheric flight vehicles.

机译:表征模型变化,以对柔性大气飞行器进行鲁棒控制。

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The aerospace community has shown significant interest in the next generation of large high-speed atmospheric flight vehicles such as the High-Speed Civil Transport (HSCT) and hypersonic vehicles similar to NASP. This class of aircraft is characterized by low structural stiffness and significant aeroelastic interactions.; Typically, controllers are designed and analyzed based on a nominal finite-dimensional linear time invariant system model to meet desired aircraft flight performance requirements and closed-loop stability. However, the real dynamic system varies from the mathematically modeled system due to linearization, unmodeled dynamics, and variations in flight condition, for example. Furthermore, the frequencies and mode shapes of the aeroelastic modes are not well variations are usually treated through the use of an “uncertainty” or variation model.; The many advances in multivariable robustness theory such as μ analysis offer the promise of powerful tools for evaluating the robustness of multivariable feedback systems. However, an important assumption is that a variation model is available, prior to robustness analysis, which adequately characterizes the variation known. These in the nominal system design model.; To be presented and discussed is the development of a systems approach to generating a variation model characterizing the variation in finite dimensional linear time-invariant models of flexible aircraft arising from unsteady aerodynamic effects, structural mode truncation, and uncertainty in the mass and stiffness properties of the aircraft structure. The approach takes into account the dependant nature of structural mode frequencies and structural mode shapes on the fundamental mass and stiffness properties of the aircraft structure.; Application of the systems approach is then demonstrated by generating a variation model for an example aircraft representative of the class of large flexible aircraft. Using the generated variation model it is shown that model variation resulting from unsteady aerodynamic effects can be significant in frequency regions where active structural mode control is desired.; It is also shown that current approaches to specifying model variation underestimate the level of model variation in two significant ways. First, by not properly accounting for the aerodynamic coupling between the rigid body and structural modes and second, by not properly accounting for model parameter uncertainty. In underestimating model variation, robustness and performance properties of control designs, based on incorrect assumptions of model variation, are questionable.
机译:航空航天界已经对下一代大型高速大气飞行器表现出了极大的兴趣,例如高速民用运输(HSCT)和类似于NASP的高超音速飞行器。此类飞机的特点是结构刚度低和明显的气动弹性相互作用。通常,基于标称有限维线性时不变系统模型来设计和分析控制器,以满足所需的飞机飞行性能要求和闭环稳定性。但是,例如,由于线性化,未建模的动力学以及飞行条件的变化,实际的动力学系统与数学建模的系统有所不同。此外,气动弹性模态的频率和模态形状不是很好,通常通过使用“不确定性”或变化模型来处理变化。多变量鲁棒性理论(例如μ分析)的许多进步为评估多变量反馈系统的鲁棒性提供了强大的工具。但是,一个重要的假设是在稳健性分析之前可以使用变化模型,该模型可以充分表征已知的变化。这些在名义上的系统设计模型中。将要介绍和讨论的是一种系统方法的开发,该方法用于生成变化模型,该变化模型描述了柔性飞机有限尺寸线性时不变模型的变化,这些变化是由不稳定的空气动力效应,结构模式截断以及质量和刚度特性的不确定性引起的飞机的结构。该方法考虑了结构模式频率和结构模式形状对飞机结构的基本质量和刚度特性的依赖性。然后,通过为代表大型柔性飞机类别的示例飞机生成变化模型来演示系统方法的应用。使用生成的变化模型表明,由不稳定的空气动力学效应引起的模型变化在需要主动结构模式控制的频率区域中可能非常明显。还表明,当前用于指定模型变化的方法以两种重要方式低估了模型变化的水平。首先,没有正确考虑刚体与结构模式之间的空气动力耦合;其次,没有正确考虑模型参数的不确定性。在低估模型变化时,基于模型变化的错误假设,控制设计的鲁棒性和性能会受到质疑。

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