非线性靶板数据处理

本文从简化六自由度弹道计算模型出发,直接以各气动系数作为拟合参数,对靶板试验数据进行处理,可以辨识出那些对角运动贡献较大的气动系数。文中介绍了一种带一次梯度收敛保护的拟Newton—Raphson迭代方法,提出了辨识灵敏度的概念。被拟合系数组合灵活,可充分利用靶板试验所提供的信息。与SRC的同类产品相比,本文完成的软件NYC收敛精度高,而且应用上有更多的优越性。由于靶板试验所需代价低廉,本文的工作具有较大的应用价值。

Nonlinear Yaw Card Data Reduction

From a simplified 6DOF model, each aerodynamic coefficient can be directly regarded as a fitting coefficient. After reducing the yaw card test data, the coefficients which have more contributions to angular motion can be identified. In the paper, an iterative method based on quasi-Newton-Raphson iteration with gradient convergence protection is introduced and the concept of identification sensitivity is proposed. The flexible combination of coefficients to be fitted can make the information in the yaw card data be of maximal use. Compared with the software product of SRC, the NYC program given in this paper converges more accurately and has more advantages in application. As the cost of the yaw card test is low, the work of this paper should find its positive value of application.