This work is focused on understanding the impact of uncertainties on various input parameters on the lift production for a flapping-wing drone equipped with a vibratory-based actuation mechanism. Uncertainty and sensitivity analysis techniques are used to investigate output trends under various input distribution types and ranges to determine the critical parameters that should be considered during the design phase. Two cases are investigated in this work: The first considers a purely linear actuation mechanism, and the second includes a cubic nonlinear spring. Input parameters under consideration are prescribed with varying levels of uncertainties and distributions. Results show that as input uncertainty increases, the range of outputs quickly increases and that there is a high chance of optimal performance failure from the drone. In addition, it is shown that input forcing and excitation frequency are the most influential parameters when operating at resonance and that the excitation frequency alone is the dominant parameter in the off-resonance regime. Lastly, uncertainty in the nonlinear stiffness results in the possibility of the drone producing low lift. These results can be used by researchers and designers to properly design vibratory-based actuation mechanisms for flapping-wing drones by considering the more influential parameters and ensuring they are designed with optimal performance.

这项工作的重点是了解各种输入参数的不确定性对配备基于振动的驱动机构的扑翼无人机的升力产生的影响。不确定性和敏感性分析技术用于研究各种输入分布类型和范围下的输出趋势，以确定在设计阶段应考虑的关键参数。在这项工作中研究了两种情况：第一种考虑纯线性驱动机构，第二种包括三次非线性弹簧。所考虑的输入参数被规定为具有不同水平的不确定性和分布。结果表明，随着输入不确定性的增加，输出范围迅速增加，并且无人机出现最佳性能故障的可能性很高。此外，结果表明，在谐振条件下工作时，输入力和激励频率是最有影响的参数，而在非谐振状态下，单独的激励频率是主要参数。最后，非线性刚度的不确定性导致无人机产生低升力的可能性。研究人员和设计人员可以使用这些结果，通过考虑更有影响力的参数并确保它们的设计具有最佳性能，从而为扑翼无人机正确设计基于振动的驱动机制。非线性刚度的不确定性导致无人机产生低升力的可能性。研究人员和设计人员可以使用这些结果，通过考虑更有影响力的参数并确保它们的设计具有最佳性能，从而为扑翼无人机正确设计基于振动的驱动机制。非线性刚度的不确定性导致无人机产生低升力的可能性。研究人员和设计人员可以使用这些结果，通过考虑更有影响力的参数并确保它们的设计具有最佳性能，从而为扑翼无人机正确设计基于振动的驱动机制。