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Choice of Interceptor Aerodynamic Lifting Surface Location based on Autopilot Design Considerations

机译:基于自动驾驶仪设计考虑的拦截器空气动力学升降表面的选择

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Interceptors operate at wide range of operating conditions in terms of Mach number, altitude and angle of attack. The aerodynamic design caters for such wide operating envelope by appropriate sizing of lifting and control surfaces for meeting the normal acceleration capability requirements. The wide range of operating conditions leads to an inevitable spread in center of pressure location and hence spread in static stability. The performance of control design is a strong function of the aerodynamic static stability. The total operating envelope can be bifurcated into statically stable and unstable zones and the aerodynamic lifting surface location can be used as a control parameter to identify the neutral stability point. During the homing phase lesser static stability is desirable for good speed of response, hence the lifting surface location needs to be chosen based on the capability of control to handle instability. This paper analyses the limitations of autopilot design for the control of an unstable interceptor and brings out a method to identify the optimum aerodynamic lifting surface location for efficiently managing static margin while satisfying the control limitations and homing phase performance. This provides an input on the most appropriate lifting surface location to the aerodynamic designer during the initial CFD based aerodynamic characterisation stage itself, before commencing the rigorous wind tunnel based characterisation.
机译:拦截器在Mach数量,高度和攻角方面以广泛的操作条件运行。空气动力学设计通过适当的升降和控制表面的适当尺寸来满足正常加速能力要求的宽操作包架。各种操作条件导致压力中心中心的不可避免的涂抹,因此在静态稳定性方面的涂抹。控制设计的性能是空气动力学静态稳定性的强大功能。总操作包络可以分叉进入静态稳定和不稳定的区域,并且气动提升表面位置可以用作控制参数以识别中性稳定点。在归位阶段较小的静态稳定性,优选良好的响应速度,因此需要基于控制能力来处理不稳定性的能力来选择升降表面位置。本文分析了自动驾驶仪设计对控制不稳定拦截器的限制,并提出了一种识别最佳空气动力学提升表面位置的方法,用于有效地管理静态边距,同时满足控制限制和归位相位性能。这在初始CFD的空气动力学表征阶段本身期间为空气动力学设计师提供最合适的提升表面位置的输入,然后开始基于严格的风隧道的表征。

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