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针对大型无人机飞行试验,探讨了无人机气动导数的参数辨识过程。根据无人机飞行试验数据特点及模态激励方式,分析并实践了相应的数据处理过程,修正了试飞数据;结合参数的相关性分析,建立了合适的气动模型,进行了气动导数辨识并验证了部分导数,辨识结果是真实可信的。所研究内容对验证和优化无人机空气动力和飞控设计进而合理地评价无人机的性能和品质具有重要意义。
Aiming at the flight test of large UAV, the parameter identification process of UAV aerodynamic derivative is discussed. According to the characteristics of UAV flight test data and modal excitation method, the corresponding data processing process is analyzed and practiced, and the flight test data are revised. Based on the correlation analysis of parameters, a suitable aerodynamic model is established and aerodynamic derivative identification and verification Part of the derivatives, identification results are true and reliable. The contents of this study are very important to validate and optimize the design of UAV aerodynamics and flight control, and then evaluate the UAV’s performance and quality reasonably.