考虑视场角约束的捷联导引与控制一体化设计

针对现有导引与控制一体化设计方法在用于捷联战术导弹时存在无法保证弹目视线满足导引头视场角约束的问题，将捷联解耦原理和状态约束控制方法相结合提出一种新型考虑视场角约束的捷联导引与控制一体化设计方法。首先引入捷联解耦原理建立捷联导引与控制一体化设计模型，将其转换为严格反馈系统；其次，针对系统模型存在的不确定扰动，设计了一种对不确定上界平方进行估计的自适应律；第三，针对视场角约束问题，采用积分型障碍Lyapunov函数结合动态面控制设计了一体化导引与控制规律。最后通过Lyapunov理论证明了闭环系统的稳定性和所有信号的一致有界。数值仿真结果校验了设计方法的有效性。     

雷达导引头跟踪低空目标仰角误差分析

雷达导引头跟踪低空飞行目标时,其仰角跟踪误差会受多径传播的严重干扰.一般的"小平面"方法计算漫反射时,采用均匀分割地形的方法,这种分割法在大擦地角,目标距离地面较低的情况下,误差较大,并且计算时间较长.提出了非均匀分割的改进的"小平面"法,分析了4条回波路径的影响.采用了闭环跟踪法计算仰角误差,并利用改进的"小平面"法计算电磁波在起伏地/海面上的漫反射,可以较为真实的模拟导引头在跟踪低空目标时的仰角跟踪误差,并可以大大缩短计算时间.     

Coning motion instability of spinning missiles induced by the delay of strap-down seeker

The strap-down seeker, which combines the seeker’s and the onboard gyro’s measurements to obtain the target information, has been extensively applied by spinning missiles. The response delay of the strap-down seeker, a novel factor that could result in crosscoupling between the acceleration commands in the pitch and yaw channels and subsequently cause the significant deterioration in dynamic stability of the spinning missile equipped with a rate loop, is noted in this paper. The sufficient and necessary stability conditions are also analytically established based on the system equation with complex coefficient, which are further verified by numerical simulations. It could be indicated that the response delay of the strap-down seeker will greatly deteriorate the dynamic stability of the whole guidance system designed by the conventional method. It is also noticed from analysis that the stable region of the combined guidance coefficient is shrunken significantly with the increase of the spinning rate.     

A new SINS/GPS sensor fusion scheme for UAV localization problem using nonlinear SVSF with covariance derivation and an adaptive boundary layer

The state estimation strategy using the smooth variable structure filter(SVSF) is based on the variable structure and sliding mode concepts. As presented in its standard form with a fixed boundary layer limit, the value of the boundary layer width is not precisely known at each step and may be selected based on a priori knowledge. The boundary layer width reflects the level of uncertainty in the model parameters and disturbance characteristics, where large values of the boundary layer width lead to robustness without optimality and small values of the boundary layer width provide optimality with poor robustness. As a solution and to overcome these limitations, an adaptive smoothing boundary layer is required to achieve greater robustness and suitable accuracy.This adapted value of the boundary layer width is obtained by minimizing the trace of the a posteriori covariance matrix. In this paper, the proposed new approach will be considered as another alternative to the extended Kalman filters(EKF), nonlinear H1 and standard SVSF-based data fusion techniques for the autonomous airborne navigation and self-localization problem. This alternative is based on strapdown inertial navigation system(SINS) and GPS data using the nonlinear SVSF with a covariance derivation and adaptive boundary layer width.Furthermore, the full mathematical model of the SINS/GPS navigation system considering the unmanned aerial vehicle(UAV) position, velocity and Euler angle as well as gyro and accelerometer biases will be used in this paper to estimate the airborne position and velocity with better accuracy.     

Robust adaptive filtering method for SINS/SAR integrated navigation system

This paper presents a new robust adaptive filtering method for SINS/SAR (Strap-down Inertial Navigation System/Synthetic Aperture Radar) integrated navigation system. This method adopts the principle of robust estimation to adaptive filtering of observational data. A robust adaptive filter is developed to adaptively determine the covariance matrix of observation noise, and adaptively adjust the covariance matrix of system state noise according to the adaptive factor constructed based on predicted residuals. Experimental results and comparison analysis demonstrate that the proposed method cannot only effectively resist disturbances due to system state noise and observation noise, but it can also achieve higher accuracy than the adaptive Kalman filtering method.     

小波分析在旋转加速度计寻北仪信号处理中的应用

为有效地消除噪声对旋转加速度计寻北仪信号的影响,提高寻北精度,在平稳小波多尺度分析原理的基础上,将平稳小波应用到旋转加速度计信号处理中,并与传统小波多尺度分析进行了对比.经过理论分析和实验验证,平稳小波和传统小波都能在一定程度上抑制噪声对信号的影响,但平稳小波的性能优于传统小波.     

协同制导导引头最大指向角误差分析

在协同制导条件下,建立了导引头最大预定指向角误差模型,分析了各种因素对协同制导条件下导引头最大预定指向角误差的影响。结果表明,雷达测角误差和系统时延是影响协同制导中末交班导引头最大指向角误差的主要因素。     

雷达/红外复合制导模拟方法研究

雷达/红外双模复合制导是精确制导武器的重要制导方式.通过分析雷达/红外复合制导机理,提出了基于单模导引头单机的雷达/红外复合制导模拟方法,解决了两部导引头如何时空配准、数据关联、融合识别和融合跟踪等问题.     

一种地理系下基于伪线性模型的捷联惯导算法

针对传统捷联惯导算法模型为非线性,需要对姿态、速度和位置分步运算,且高动态下算法精度较低的问题,提出一种地理系下基于伪线性模型的捷联惯导算法。利用伪线性模型及其分析方法,将传统的地理系下捷联惯导方程各部分转换成伪线性形式,定义导航向量并建立其系统模型;再利用高阶数值积分算法提升导航向量更新精度,得到地理系下基于伪线性模型的捷联惯导算法。最后,用仿真评估算法精度,与传统捷联惯导算法相比,大机动条件仿真中伪线性捷联惯导算法的精度提升了两个量级;旋转弹飞行仿真中导航误差不到传统算法的1/5。提出的伪线性捷联惯导算法结构简单,采用一个更新回路即可完成导航向量更新,且在高动态大机动条件下具有更高的算法精度,因此,对于捷联惯导算法研究与工程应用有一定的参考价值。     

捷变频雷达导引头射频环境仿真及其关键技术

介绍了捷变频雷达导引头的信号特征和对捷变频雷达射频环境仿真的基本方法。着重讨论了瞬时测频仿真方案和射频延迟线仿真方案的工程实现和关键技术 ,指出改进频率校准方法提高频率引导精度是瞬时测频仿真方案的关键技术 ;发展低损耗、宽频带、延迟时间连续可调的高性能射频延迟线是射频延迟线仿真方案的关键技术。对两种仿真方案的特点进行了比较。