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Flight loads assessment of failure cases with pilot models

机译:用飞行员模型评估故障案例的飞行载荷

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Flight control failure cases require careful consideration and analysis from a control law perspective as well as an airframe loads viewpoint and moreover, possible pilot control actions also need to be considered. Here, a simulation framework and its development methodology are presented that allows manual control action to be included within the flight loads process to study failure scenarios. This enables the analysis of interactions between manual control action and flight control schemes (that include loads control) in the early design stages. The algorithmic modified optimal control pilot model has been implemented for assessing a soft oscillatory aileron failure on a conventional large transport aircraft. The pilot model was parameterised using a series of simulation trials before being integrated within the aeroservoelastic simulation framework used to obtain quantities such as bending moment and torsion for the wing and tailplane. Pilot-model-in-the-loop simulations of the worst case aileron failure frequency show that manual pitch compensation leads to tailplane loads that significantly exceed the calculated envelope loads. Such an outcome in effect demonstrates the utility of applying pilot models within flight loads processes.
机译:飞行控制失灵的情况需要从控制法的角度以及从机体载荷的角度进行仔细考虑和分析,此外,还需要考虑可能的飞行员控制措施。在这里,提出了一种仿真框架及其开发方法,该方法允许将手动控制动作包括在飞行载荷过程中以研究故障情况。这样可以在早期设计阶段分析手动控制动作与飞行控制方案(包括负载控制)之间的相互作用。已经对算法进行了改进的最优控制飞行员模型,用于评估常规大型运输机上的软振荡副翼故障。在将其整合到用于获得诸如机翼和尾翼的弯矩和扭转量之类的航空弹性模拟框架之前,使用了一系列的模拟试验对飞行员模型进行了参数设置。最坏情况的副翼故障频率的飞行员模型在环仿真显示,手动俯仰补偿会导致尾翼载荷大大超过计算出的包络载荷。这样的结果实际上证明了在飞行载荷过程中应用飞行员模型的效用。

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