航空学报 > 2010, Vol. 31 Issue (3): 466-471

流体力学、飞行力学与发动机

用参数辨识法进行直升机悬停性能拓展

于雪梅1,2, 刘平安1, 崔秀娟2   

  1. 1.哈尔滨工程大学 航天与建筑工程学院 2.哈尔滨飞机工业集团公司 试飞站
  • 收稿日期:2009-01-17 修回日期:2009-03-31 出版日期:2010-03-25 发布日期:2010-03-25
  • 通讯作者: 于雪梅

Helicopter Hovering Performance Expansion by Parameter Identification

Yu Xuemei1,2, Liu Ping’an1, Cui Xiujuan2   

  1. 1.Colloge of Aerospace and Civil Engineering, Harbin Engineering University 2.Flight Test Department, Harbin Aircraft Industry Group Co.Ltd
  • Received:2009-01-17 Revised:2009-03-31 Online:2010-03-25 Published:2010-03-25
  • Contact: Yu Xuemei

摘要: 准确计算直升机在不同飞行状态的有效气动参数对于确定直升机飞行性能具有重要意义。然而,由于复杂的旋翼空气动力现象以及直升机状态和环境条件的变化,准确预估气动参数有较大难度。为此,采用无量纲分析法建立直升机悬停状态的数学模型,首先对参数重组,确定了几个悬停状态重要参数,包括气动参数和直升机状态参数;然后,以直9×型直升机为例,结合实际试飞数据,提出了用最小二乘法对该模型进行参数辨识的方法;最后,通过相关性分析,确定了辨识方法的可行性,并将辨识结果有效地用于直升机悬停性能拓展。结果表明,这种利用参数辨识进行性能拓展的方法是可行的,由于辨识结果是利用实际试飞数据确定的,拓展结果具有较高的可信度。这种数据处理方法可有效减少试飞周期,节约试验成本。

关键词: 直升机, 悬停性能, 参数辨识, 飞行试验, 最小二乘法, 可行性分析

Abstract: To calculate accurately the effective aerodynamic parameters of a helicopter in different flight states is of crucial importance to the determination of its flight performance. However, it is not easy to estimate these parameters precisely due to complicated rotor aerodynamics and changing environment and helicopter states. In this article, a non-dimensional mathematic model is built for the helicopter hovering state, and a number of important parameters of the helicopter, including its aerodynamic parameters and certain state parameters, are developed by regrouping. Then, taking helicopter Z-9× as an example, the least squares method is proposed to identify the dynamic parameters of the mathematic model on the basis of actual flight test data. Finally, the identification method is proved valid through feasibility analysis, and these identified parameters are effectively used to expand the helicopter’s hovering performance. The results show that it is feasible to use the parameter identification method to expand helicopter hovering performance, and the expanding results have high reliability since the identified parameters are derived from actual flight data. It is believed that this flight data measurement method can reduce flight test periods and save test cost as well.

Key words: helicopter, hovering performance, parameter identification, flight test, the least squares method, feasibility analysis

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