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System identification and linear time-invariant modeling of an insect-sized flapping-wing micro air vehicle

机译:昆虫大小的襟翼微型飞行器的系统辨识和线性时不变模型

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Flapping-wing robots typically include numerous nonlinear elements, such as nonlinear geometric and aerodynamic components. For an insect-sized flapping-wing micro air vehicle (FWMAV), we show that a linearized model is sufficient to predict system behavior with reasonable accuracy over a large operating range, not just locally around the linearization state. The theoretical model is verified against an identified model from a prototype robotic fly and implications for vehicle design are discussed.
机译:拍打翼机器人通常包括许多非线性元素,例如非线性几何和空气动力学组件。对于昆虫大小的襟翼微型飞行器(FWMAV),我们证明了线性化模型足以在较大的工作范围内以合理的精度预测系统行为,而不仅仅是在线性化状态附近。针对原型机器人飞行中的识别模型验证了理论模型,并讨论了其对车辆设计的意义。

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