重型运载火箭关键制造技术发展展望

我国未来重型运载的研制需要研究突破贮箱等大型结构件以及200t级大推力氢氧火箭发动机关键组件相关材料、结构、工艺和工艺装备等方面的制造技术;继承已有航天产品制造经验,与现有材料、装备技术和能力发展实际结合,保证型号研制顺利进行;同时发展新材料与先进工艺技术,为型号产品研制以及进一步改进奠定基础。     

太赫兹固态电子器件和电路

随着微电子技术的飞速发展,半导体器件的截止频率已经进入到太赫兹频段,太赫兹电路的频率特性特性得到极大发展。以固态器件为基础的电路的工作频率进入到太赫兹频段。太赫兹固态电子器件与电路技术在空间领域有着重要的应用前景。文章重点介绍InP基三端太赫兹固态电子器件和电路,以及太赫兹肖特基二极管器件和电路的技术发展过程与最新动态。并指出随着器件与电路的整体化与集成化发展趋势,太赫兹单片集成技术是其未来发展方向。     

石英加速度计故障机理研究与仿真建模验证

针对加速度计故障定位测试方法不明确、周期长且定位不准确的问题,对加速度计故障机理进行研究以及验证.首先,通过对加速度计结构、工作机理、试验环境等方面的结合分析,从理论上研究了加速度计正负饱和、无输出等常见故障模式;其次,通过故障机理分析与20多种试验仿真模拟,建立每一种故障对应的故障模式;结果表明:加速度计每种故障与测...     

A strategic flight conflict avoidance approach based on a memetic algorithm

Conflict avoidance （CA） plays a crucial role in guaranteeing the airspace safety. The cur- rent approaches, mostly focusing on a short-term situation which eliminates conflicts via local adjust- ment, cannot provide a global solution. Recently, long-term conflict avoidance approaches, which are proposed to provide solutions via strategically planning traffic flow from a global view, have attracted more attentions. With consideration of the situation in China, there are thousands of flights per day and the air route network is large and complex, which makes the long-term problem to be a large-scale combinatorial optimization problem with complex constraints. To minimize the risk of premature convergence being faced by current approaches and obtain higher quality solutions, in this work, we present an effective strategic framework based on a memetic algorithm （MA）, which can markedly improve search capability via a combination of population-based global search and local improve- ments made by individuals. In addition, a specially designed local search operator and an adaptive local search frequency strategy are proposed to improve the solution quality. Furthermore, a fast genetic algorithm （GA） is presented as the global optimization method. Empirical studies using real traffic data of the Chinese air route network and daily flight plans show that our approach outper- formed the existing approaches including the GA .based approach and the cooperative coevolution based approach as well as some well-known memetic algorithm based approaches.     

Accuracy enhancement of the spherical actuator with a two-level geometric calibration method

This paper presents a two-level geometric calibration method for the permanent magnet （PM） spherical actuator to improve its motion control accuracy. The proposed actuator is com- posed of a stator with circumferential coils and a rotor with multiple PM poles. Due to the assembly and fabrication errors, the real geometric parameters of the actuator will deviate from their design values. Hence, the identification of such errors is critical for the motion control tasks. A two-level geometric calibration approach is proposed to identify such errors. In the first level, the calibration model is formulated based on the differential form of the kinematic equation, which is to identify the geometric errors in the spherical joint. In the second level, the calibration model is formulated based on the differential form of torque formula, which is to calibrate the geometric parameters of the magnetization axes of PM poles and coils axes. To demonstrate the robustness and availability of the calibration algorithm, simulations are conducted. The results have shown that the proposed two-level calibration method can effectively compensate the geometric parameter errors and improve the positioning accuracy of the spherical actuator.