跨声速气动参数在线辨识方法研究

摘要

以增广扩展卡尔曼滤波作为在线辨识工具,对再入体跨声速区的气动参数在线辨识方法展开研究.系统分析了增广扩展卡尔曼滤波对状态和参数联合辨识效果,发现缓变气动参数辨识效果良好,但气动参数变化剧烈时辨识结果有较大偏差,为克服这一缺点,将强跟踪思想引入到一般的增广扩展卡尔曼滤波器中.通过仿真表明,强跟踪增广扩展卡尔曼滤波器可以有效克服一般增广扩展卡尔曼滤波在参数变化较大时估计误差较大的缺点.%Reentry body transonic aerodynamic parameter online identification methods are researched, and an augmented extended kalman filter is uaed as the online identification tools. Effect of the augmented extended kalman filter approach on joint state and parameter estimation is overall analyzed, and it is found that slowly varying parameters are well estimated, but estimate values for fast varying parameters are largely divergent. To overcome this disadvantage, a new kind of strong tracking filter is introduced into the traditional augmented extended kalman filter, the simulation shows that strong tracking filter can effectively overcome the disadvantage of larger estimation error for general augmented extended kalman filter.