【摘要】 对飞机纵向高阶等效系统模型的可辨识性进行了分析，指出原有的辨识飞行品质参数方法存在的问题，并提出新的解决方案。即首先对原始模型进行转换，得到一组可辨识性强的模型，然后综合引用极大似然方法和Ｅｘｔｒｅｍｅ单变量寻优方法辨识新的模型及参数，最后利用双步ＱＲ分解技术求出与原始模型中相对应的、物理意义明确的飞行品质参数。另外，针对现代主动控制飞机时间延迟τ较大的特点，提出一种新的处理时间延迟环节ｅ－τｓ及辨识参数τ的方法，并对某主动控制飞机的仿真数据进行处理。结果表明，分析是正确的，提出的解决方法是合理可行的，可用于纵向高阶等效系统品质辨识。更多还原

【Abstract】 Based on the analysis of the methods used before, a new method is presented to identify the aircraft flying quality parameters of high order equivalent system. The procedure of the identification is divided into three steps. First, to overcome the correlation of the parameters in the original model of equivalent system, a approved model is gotten by approximate model transformation. Second, the new model’s parameters are dertermined by using the Modified Maximum Likelihood Method and the Modified Extreme Method. Third, the parameters of the original model are acquired by using the technique of QR Decomposition of Matrixes. In addition to, the nonlinear circle e - τs is precisely illustrated into the equivalent system. So the bias is delineated that is created and cannot be avoided when using the approximate equation of Pardon. Simulation studies in the paper indicate that the presented method is promising. Finally, it’s perhaps worthwhile to point out the present method is applicable to other identification problems.更多还原