美国固体火箭发动机出厂价格的分析与估算

本文分析了美国发动机出厂价格与其技术性能、生产规模及采购环境等因素的相互关系,并通过对有关采购合同的数据所进行的统计回归,建立了具有良好估算精度并可供实用的估算模型,实现了在较高精度下对美国发动机出厂价格及采购合同的定量估算.还提出了产品成本-总量-性能之间存在着“成本=常量(总量)性能”的关系.     

非线性最优解在气动参数辨识中的应用

由于采用最大似然算法进行了扭动参数辨识通常存在着局极值问题，为了寻求非线性全局最优解，提高估计精度，介绍了以混沌优化算法作为搜索工具。与最大似然处算法相结合，求解非凸优化问题全局最优解的方法，算例表明，该方法是有效可行的，并且估计精度也较高。     

高速A/D变换器的电路设计

本文介绍了用常见的中、小规模集成电路设计成高速 A/D 变换器。同时又利用了它的并行传输数字量的速度大大于它本身变换速度的特点,设计了两路在时序上采用相差半个周期来对输入模拟信号交替采样,使 A/D 变换器变换速度达到1MHz 以上。线路实验证明该设计是正确的,实验结果是理想的。并有广泛的使用价值。     

基于视频图像序列的3-D场景生成方法

平面序列图像的立体化表述和任意视点成生是实现３－Ｄ场景的关键技术。利用便携式摄像机沿着不同运动轨迹,连续对目标物体进行拍摄,可获得不同层次的包含有双目视差深度的平面视点序列图像。从获取的序列图像中选择不同的视点,即选择参考帧,利用与参考帧相邻的帧图像,估计参考帧位置的深度信息。采用自适应匹配算法,将各种层次的深度信息分配给图像的不同区域,形成具有不同深度层次的图像深度表示图,建立３－Ｄ观察场景。最     

分离流中多段翼型的优化计算

 本文给出带有分离流动的多段冀型的优化计算方法。以最大升力系数为目标函数,对前缘缝翼或襟翼的位置和偏角进行优化。文中对带有后缘富勒式襟翼的NLR 7301翼型和GA(W)-1翼型进行最大升力计算和优化计算,所得结果和实验值相比符合得较好。     

大型水陆两栖飞机吹气襟翼设计与分析验证

针对大型水陆两栖飞机的使用特点和指标要求,以原型机翼为基础,重点开展机翼附面层控制增升装置设计技术研究,设计了附面层控制的吹气襟翼方案.采用计算流体动力学方法作为初步设计的评估手段,全面分析评估了设计方案的气动力特性和流场结构,最后通过风洞试验验证了该方案的增升效果.结果显示该设计方案在较宽的吹气动量系数范围内,最大升力系数均有不同程度的增幅,在吹气动量系数约为0.2左右时,获得最大的升力系数增量约为1.0,按照原型机的滑流影响规律推算,当采用吹气襟翼的主动流动控制方案后,起降速度能下降约30%,达到了设计指标.      

Cubature Kalman filter with closed-loop covariance feedback control for integrated INS/GNSS navigation

Cubature Kalman Filter (CKF) offers a promising solution to handle the data fusion of integrated nonlinear INS/GNSS (Inertial Navigation System/Global Navigation Satellite System) navigation. However, its accuracy is degraded by inaccurate kinematic noise statistics which originate from disturbances of system dynamics. This paper develops a method of closed-loop feedback covariance control to address the above problem of CKF. In this method, the posterior state and its covariance are fed back to the filtering process to constitute a closed-loop structure for CKF covariance propagation. Subsequently, based on the maximum likelihood principle, a control scheme of the prior state covariance is established by using the feedback state and covariance within an estimation window and further adopting a proportional coefficient to amplify the feedback terms in recent time steps for the full use of new information to reflect actual system characteristics. Since it does not directly use kinematic noise covariance, the proposed method can effectively avoid the adverse impact of inaccurate kinematic noise statistics on filtering solutions. Further, it can also guarantee the prior state covariance to be positive semi-definite without involving extra measures. The efficacy of the proposed method is validated by simulations and experiments for integrated INS/GNSS navigation.     

A practical filter error method for aerodynamic parameter estimation of aircraft in turbulence

It is common for aircraft to encounter atmospheric turbulence in flight tests. Turbulence is usually modeled as stochastic process noise in the flight dynamics equations. In this paper, parameter estimation of nonlinear dynamic system with both process and measurement noise was studied, and a practical filter error method was proposed. The linearized Kalman filter of first-order approximation was used for state estimation, in which the filter gain, along with the system parameters and the initial states, constituted the parameter vector to be estimated. The unknown parameters and measurement noise covariance were estimated alternately by a relaxation iteration method, and the sensitivities of observations to unknown parameters were calculated by finite difference approximation. Some practical aspects of the method application were discussed. The proposed filter error method was validated by the flight simulation data of a research aircraft. Then, the method was applied to the flight tests of a subscale aircraft, and the aerodynamic stability and control derivatives were estimated. All the estimation results were compared with the results of the output error method to demonstrate the effectiveness of the approach. It is shown that the filter error method is superior to the output error method for flight tests in atmospheric turbulence.     

一些评定液体弹道式导弹最大射程的新的统计方法

本文得到了液体弹道式导弹最大射程ｔ的精确解及算法，改进了原有的评定方法，并利用极大似然法及自动法给出了一般模型下的最大射程的评定方法，并给出了计算实例。     

变结构快速鲁棒跟踪系统

快速鲁棒跟踪是跟踪系统的重要指标之一。为此本文提出了自适应Ｈｕｂｅｒ函数和广义开关函数概念，并根据这两种概念，构造了具有快速和鲁棒两种特性的变结构跟踪系统。其特点是在大误差范围内系统工作在Ｂａｎｇ－Ｂａｎｇ型模糊滤波模式，以保证最短时间收敛。而在小误差范围内，工作在线性滤波器模式，以保证系统的最优性。最后给出了目标跟踪系统仿真结果。