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Estimation of Wind Conditions Utilizing RC Helicopter Dynamics

机译：利用RC直升机动力学估算风况

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This paper investigates the applicability of a remote-controlled (RC) helicopter as a sensing platform for measuring local wind conditions. A simplified nonlinear multibody helicopter dynamics model has been proposed in this paper, which models local wind conditions in addition to capturing essential helicopter states such as fuselage dynamics, rotor inflow, blade flapping, and lead lagging. The critical aerodynamic parameters for the model were extracted using indoor calibration flights. This paper also presents the performance of particle swarm optimization in optimizing and validating the helicopters dynamic model parameters. An in-house developed multisensor instrumentation system was used to track the helicopter dynamics and extract wind model parameters through anomalies in the helicopter dynamics estimates. A three-dimensional (3-D) map of local wind conditions was generated for a controlled turbulent wind environment created in an indoor test facility. To validate the systems performance, wind parameters estimated from the proposed system were quantitatively compared against the experimentally generated 3-D wind map.
机译：本文研究了遥控（RC）直升机作为测量当地风况的传感平台的适用性。本文提出了一种简化的非线性多体直升机动力学模型，该模型除了捕获基本的直升机状态（例如机身动力学，旋翼流入，叶片扑动和超前滞后）外，还对局部风况进行建模。使用室内校准飞行提取模型的关键空气动力学参数。本文还介绍了粒子群优化算法在优化和验证直升机动力学模型参数方面的性能。内部开发的多传感器仪表系统用于跟踪直升机动态并通过直升机动态估计中的异常提取风模型参数。针对在室内测试设施中创建的受控湍流风环境，生成了局部风况的三维（3-D）地图。为了验证系统性能，将根据拟议系统估算的风参数与实验生成的3-D风图进行了定量比较。

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