A propulsion system suitable for the forward state of a quadcopter is optimally designed in this study. The forward model of the rotor in tilt flow is established using a linear regression method to process the aerodynamics data acquired from the empirical blade element momentum theory (BEMT). Fuselage model is constructed by high fidelity computational fluid dynamics (CFD) method. Based on the models, the performance of the UAV can be derived precisely and quickly with the propulsion system parameters. Then, the propulsion system is optimized to better realize the forward flight endurance by using genetic intelligent optimization algorithm. Finally, wind-tunnel tests are conducted and the results indicate that the optimal propulsion system can efficiently improve the forward flight endurance.

在这项研究中，对适于四轴飞行器前向状态的推进系统进行了优化设计。使用线性回归方法建立转子在倾斜流中的正向模型，以处理从经验叶片要素动量理论（BEMT）获得的空气动力学数据。机身模型是通过高保真计算流体动力学（CFD）方法构建的。基于这些模型，可以利用推进系统参数精确，快速地得出无人机的性能。然后，通过遗传智能优化算法对推进系统进行优化，以更好地实现前向续航能力。最后，进行了风洞试验，结果表明最佳的推进系统可以有效地提高前向的续航能力。