Command filtered sliding mode trajectory tracking control for unmanned airships based on RBFNN approximation

This paper presents two sliding mode controllers to address the trajectory tracking problem of unmanned airships in the presence of unknown wind disturbance. The sliding mode controller proposed first is designed by a fast power rate reaching law(FPRRL). The disturbance is compensated by a radial basis function neural network (RBFNN). To avoid the aggressive adaptation, the controller is augmented by a command filter. The controller provides good robustness and tracking performance with no chattering under the hypothesis of ideal wind field. However, serious chattering occurs when simulation is performed under discontinuous wind field. To simulate the wind in practice, the wind field employed in the simulation is generated by the combination of a constant field and white noise. The controller is improved subsequently with an extended model to suppress the chattering induced by the white noise. The enhanced controller manipulates the derivation of system input, thus attenuating the chattering. Stability analysis shows that both controllers drive the tracking error into a controllable small region near zero. Simulations are provided to validate the performance of the proposed controllers under different wind hypothesis.     

基于RISC芯片的32位嵌入式基本系统的设计和调试

基于ＲＩＳＣ芯片的３２位嵌入式基本系统的研究和设计是当前嵌入式星载计算机研制方面的一个重要课题，着重介绍了该ＲＩＳＣ基本系统的设计特点以及所使用的构思新颖的调试方法等两方面的研究情况。     

A novel signal processing approach for LEO space debris based on a fence-type space surveillance radar system

The increase in space debris can seriously threaten regular activities in the Low Earth Orbit (LEO) environment. Therefore, it is necessary to develop robust, efficient and reliable techniques to understand the potential motions of the LEO debris. In this paper, we propose a novel signal processing approach to detect and estimate the motions of LEO space debris that is based on a fence-type space surveillance radar system. Because of the sparse distribution of the orbiting debris through the fence in our observations, we formulate the signal detection and the motion parameter estimation as a sparse signal reconstruction problem with respect to an over-complete dictionary. Moreover, we propose a new scheme to reduce the size of the original over-complete dictionary without the loss of the important information. This new scheme is based on a careful analysis of the relations between the acceleration and the directions of arrival for the corresponding LEO space debris. Our simulation results show that the proposed approach can achieve extremely good performance in terms of the accuracy for detection and estimation. Furthermore, our simulation results demonstrate the robustness of the approach in scenarios with a low Signal-to-Noise Ratio (SNR) and the super-resolution properties. We hope our signal processing approach can stimulate further work on monitoring LEO space debris.     

特型钝体绕流动态特性的低速实验研究

在低速自由射流风洞上 ,利用热线及相关设备对由半球头部、颈部及旋成体构成的特型钝体周围非定常流动的基本特性、联合特性及湍流度分布进行了测试与分析 ,实验工况为迎角α=- 1 5°～ 1 5°、侧滑角 β =0°～ 1 0°。结果表明 ,在上述工况范围内 ,该钝体周围流场中速度脉动的能量分布平坦 ,属宽频带随机信号 ,流场中没有发生明显的流动分离 ,流场动态品质良好 ;凹陷区内气流的脉动以不同的速度向下游空间传播 ;在上述α、β变化范围内 ,钝体颈部凹陷区的最大湍流度高达 1 0 .9～ 2 4.8%。     

速率转台的角速率不确定度评定方法

利用不确定度的理论来评定速率转台的角速率不确定度。     

AHP中判断矩阵元素最优估计值的误差分析

在AHP模型中，请一组专家对某一属性进行评价，通过适当的数学处理方法，可得判断矩阵元素的最优估计值，并根据残差来确定所求估计值是否达到精度要求，若不符合精度要求则需返还给专家进行重新评估。这是AHP中构造判断矩阵的一种新方法。     

核心机派生间冷回热航空发动机热循环参数匹配研究

间冷回热航空发动机作为一种新概念动力技术,可满足未来民用航空发动机对成本控制、环境友好性等方面的要求.以成熟的核心机为基础,在常规热力循环基础上增加间冷过程和回热过程,匹配低压系统派生间冷回热涡扇发动机,进行热力循环参数选择与性能仿真分析.结果表明,派生的间冷回热航空发动机性能提升明显,与常规循环发动机相比,净推力增加...     

贴体曲线坐标系中恢复函数的一种构造方法及应用

本文在结构网格下，从三点迎风紧致逼近出发提出了一种适合于有限体积离散的恢复函数生成办法，在光滑区它具有三阶精度，并且在捕捉激波时有较高的激波分辨率。典型的几个内流算例表明：用该方法得到的恢复函数去计算数值能量时能得到与实验数据较接近的数值解。     

Kalman filtering for GPS/magnetometer integrated navigation system

This paper investigated the data processing method for a GPS/IMU/magnetometer integrated system with Kalman filtering (KF). As a result of GPS/IMU/magnetometer land vehicle system, dead-reckoning of magnetometer and accelerometer integrated subsystem bridged very well the GPS signal outage due to the trees on the two sides of the road. Both differential GPS data processing method and the carrier-phase method with magnetometers’ outputs for predicting the car position, velocity, and acceleration (PVA) are presented. The results from DGPS with Kinematical Positioning (KINPOS) software shown that the averages of the north, east, and down direction standard deviation (short for “std”) are 0.014, 0.010, and 0.018 m, respectively. The std of velocities and accelerations derived by the position and velocity differentiation are 10, 7, 13 mm/s, 7, 5, 9 mm/s², respectively. This method for getting velocities and accelerations requires higher accurate position coordinates. But the position accuracy has frequently been degraded in this case when the car drove under the trees or other similar kinematical environments. That caused the larger velocity and acceleration errors. While the results from the carrier-phase method are std of the velocities = 2.1 mm/s, 1.3 mm/s, 3.7 mm/s in north, east, down, and std of the accelerations = 1.5 mm/s², 0.9 mm/s², 2.3 mm/s² for the static test period; as compared with KINPOS software results, std of the velocity difference between the carrier-phase method and the DGPS method = 7 mm/s, 6.9 mm/s, 9.7 mm/s in north, east, down direction, and std of acceleration difference = 5.0 mm/s², 4.5 mm/s², 7.5 mm/s² in north, east, down direction for the kinematical test period. Obviously, errors come from both the carrier-phase method and DGPS velocity and acceleration results derived directly by the position differentiation. In addition, better accuracy of positions than that before KF has been got by means of velocities and accelerations derived by the carrier-phase method after KF.     

二维振荡机翼跨声速非定常绕流的变域变分有限元解

本文首先对文献（１－３）提出的二维振荡机翼含激波跨声速非定常绕流的变分原理进行了改造，使之能适用于时间推进法；构造了三维时空的可变节点有限元来捕获自由尾涡面，而跨声流中的激波采用人工密度法捕获。在远场边界上使用简化的无反射条件和新型非定常Ｋｕｔｔａ条件。用本文方法求解了作俯爷振荡的ＮＡＣＡ６４Ａ０１０翼型的跨声速绕流，计算结果令人满意。本文方法可以推广到三维机翼及二维和三维叶栅的同类气动力问题上去