一种测量航空发动机T*4温度的新方法

采用热电偶信号放大集成电路AD595结合镍铬-镍铝热电偶温度传感器,设计了航空发动机T*4温度热电偶测温电路,实现了冷端自动补偿、热电偶断线报警信号输出功能.实测数据分析表明输出幅值大,误差小,重复性好.测量电路简单,具有较强的实用性.     

基于层次分析法的飞行模拟训练评价体系设计

为科学完善地描述飞行模拟训练中的应急处置程序,提升飞行员专业驾驶技术水平,本文提出飞行模拟训练评价体系,并通过层次分析法构造3阶判断矩阵,检测矩阵一致性指标为0.037,具有可接受性;并采用关联度进行数据分析量化计算,为飞行训练考核标准奠定理论基础。     

Estimation of ground range on the sweep frequency backscatter leading edge

The high frequency management system with backscatter radar supplies the real time ionosphere channel conditions to high frequency users, which leads to the demand for the ground range between the radar location and the scatters on the distant ground. The ionosphere electron density profile is usually inversed to obtain the ground range. An inversion algorithm, with which the ground range on the leading edge of the backscatter ionograms can be obtained without electron density, is presented in this paper. The ray path geometry of the backscatter sounding and the change in the group path on the leading edge with operating frequency are used to derive the ground range. Synthesized backscatter ionogram and experimental backscatter ionograms are processed to validate the algorithm. The results indicate that the algorithm is usable for high frequency management system.     

Multi-objective Optimization Method for Automatic Drilling and Riveting Sequence Planning

 There are numerous riveting points on the large-sized aircraft panel, irregular row of riveting points on delta wing. It is es-sential to plan the riveting sequence reasonably to improve the efficiency and accuracy of automatic drilling and riveting. Therefore, this article presents a new multi-objective optimization method based on ant colony optimization (ACO). Multi-objective optimization model of automatic drilling and riveting sequence planning is built by expressing the efficiency and accuracy of riveting as functions of the points’ coordinates. In order to search the sequences efficiently and improve the quality of the sequences, a new local pheromone updating rule is applied when the ants search sequences. Pareto dominance is incorporated into the proposed ACO to find out the non-dominated sequences. This method is tested on a hyperbolicity panel model of ARJ21 and the result shows its feasibility and superiority compared with particle swarm optimization (PSO) and ge-netic algorithm (GA).     

0.8m 风洞风扇系统的设计和运转

为提高低速风洞的最大风速，根本的措施是设计高转速大功率的风扇系统。风扇系统的设计首先在于有一个良好的设计方法，选择高升阻比的风扇翼型，根据需要恰当地确定设计工况点，合理选择桨叶和反扭导流片的各个参数，如桨毂比、实度、升力系数和圆弧角等。设计中针对已经设计的外形，进行性能计算，可以迅速鉴别设计的优劣，检查是否能满足设计要求，节约研制成本和缩短周期。     

双模GNSS接收机中可重构FFT处理器设计

在双模GNSS接收机中,GPS和BD2卫星的PN码长度不同,造成接收机中的捕获通道不能通用。提出一种可重构的FFT实现方法,利用1024点FFT以及可复用的基2/基4处理单元组成可重构FFT,实现2048点FFT或4096点FFT,使得接收机能够利用同一个FFT模块捕获GPS信号或BD信号,从而节省了接收机的硬件资源。同时可通过复用FFT的方法共用捕获通道,为提高捕获速度和精度提供硬件基础。     

Improved ZCS-PWM commutation cell for IGBTs application

An improved zero-current-switching pulsewidth-modulated (ZCS-PWM) commutation cell is presented, which is suitable for high-power applications using insulated gate bipolar transistors (IGBTs) as the power switches. It provides ZCS operation for active switches and zero-voltage-switching (ZVS) operation for passive switches. Besides operating at constant frequency and reducing commutation losses, the proposed ZCS-PWM switch cell has no additional current stress and conduction loss in the main switch. To demonstrate the feasibility of the proposed ZCS-PWM commutation cell, it was applied to a boost converter. Operating principle, theoretical analysis, design guidelines, and a design example are described and verified by experiment results obtained from a prototype rated 1 kW and operating at 40 kHz. The PWM switch model and state-space averaging approach is also used to estimate and examine the steady-state and dynamic character of ZCS-PWM boost converter system. Finally, the application of the proposed soft-switching technique in the dc-dc nonisolated converters is presented.     

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.