Resolving electrons from protons in ATIC

The Advanced Thin Ionization Calorimeter (ATIC) experiment is designed for high energy cosmic ray ion detection. The possibility to identify high energy primary cosmic ray electrons in the presence of the ‘background’ of cosmic ray protons has been studied by simulating nuclear-electromagnetic cascade showers using the FLUKA Monte Carlo simulation code. The ATIC design, consisting of a graphite target and an energy detection device, a totally active calorimeter built up of 2.5 cm × 2.5 cm × 25.0 cm BGO scintillator bars, gives sufficient information to distinguish electrons from protons. While identifying about 80% of electrons as such, only about 2 in 10,000 protons (@ 150 GeV) will mimic electrons. In September of 1999 ATIC was exposed to high-energy electron and proton beams at the CERN H2 beam line, and this data confirmed the electron detection capabilities of ATIC. From 2000-12-28 to 2001-01-13 ATIC was flown as a long duration balloon test flight from McMurdo, Antarctica, recording over 360 h of data and allowing electron separation to be confirmed in the flight data. In addition, ATIC electron detection capabilities can be checked by atmospheric gamma-ray observations.     

RFNN control for PMLSM drive via backstepping technique

A robust fuzzy neural network (RFNN) control system is proposed in this study to control the position of the mover of a permanent magnet linear synchronous motor (PMLSM) drive system to track periodic reference trajectories. First, an ideal feedback linearization control law is designed based on the backstepping technique. Then, a fuzzy neural network (FNN) controller is designed to be the main tracking controller of the proposed RFNN control system to mimic an ideal feedback linearization control law, and a robust controller is proposed to confront the shortcoming of the FNN controller. Moreover, to relax the requirement for the bound of uncertainty term, which comprises a minimum approximation error, optimal parameter vectors and higher order terms in Taylor series, an adaptive bound estimation is investigated where a simple adaptive algorithm is utilized to estimate the bound of uncertainty. Furthermore, the simulated and experimental results due to periodic reference trajectories demonstrate that the dynamic behaviors of the proposed control systems are robust with regard to uncertainties.     

现代飞行控制律评估与确认先进方法研究

针对系统中广泛存在的不确定性,在分析了现代鲁棒飞行控制律设计的基础上,进行先进评估与确认技术方法研究。针对目前方法的不足,结合国外一些研究成果,重点对控制律评估与确认技术进行了系统的研究和论述,提出了进行现代飞行控制律评估与确认的内容、步骤及适用的方法和评价准则,对我国在此领域的研究具有积极的意义。     

电子束蒸发镀铝-铬合金涂层研究

本文研究了电子束蒸发镀铝－铬合金涂层的制备工艺，通过讨论不同的电压、束流对膜层外观、结合力、内应力的影响，确定了合适的陈镀工艺，对涂层和膜料的成分者了分析，表明涂层中铬含量与膜料中铬含量的较大差异，最后探讨了不同含铬量的涂层的耐蚀性。     

Equatorial F region irregularity morphology during an equinoctial month at solar minimum

A large number of instruments was used in October 1996 to record activities in the equatorial ionosphere above South America. In a month at solar minimum, data were obtained at various levels of magnetic activity and various levels of ionospheric irregularity development. With this multi-instrumented study, it was possible to utilize optical data, radar, GPS transmissions, and ionosondes at various sites in the equatorial region. The concept of this paper is to review the plethora of events which occurred during this month with a view to describing the interrelationship of the wide variety of irregularity developments. Data were obtained on nights when no irregularities were observed at any location in the equatorial region across South America. There were nights when only localized irregularity structures with relatively narrow latitudinal and longitudinal effects were noted close to the magnetic equator. We noted the occasional presence in the 02–06 local time period of plume structures with data available from optical observations as well as from phase and amplitude scintillation. During a major magnetic storm on one night, October 22–23, a long lasting high altitude plume was detected by the Jicamarca radar. On this night, irregularities were noted all across South America and even beyond the western and eastern coasts. This plume produced ionospheric effects which could be traced to turbulence at over 2000 km above the magnetic equator. With additional data from high latitude stations and from Guam and Kwajelein, it was possible to link and compare irregularity development in the same time period over a large portion of the globe. The aim of this paper is to give a day-to-day picture of the occurrence and intensity of equatorial irregularity development over a month-long period rather than a short case study or the converse, long term statistics over several seasons. Using this database and the modeling of total electron content as a function of solar flux, we outline the possibilities and limitations for forecasting irregularity activity in this region for a period of low solar flux. Forecasting is limited and calls for experimental data for necessary and sufficient gradients and wind conditions for plumes to fully develop. This revised version was published online in June 2006 with corrections to the Cover Date.     

自适应预测控制在轮胎胎面缠绕系统的应用

论文叙述了轮胎胎面缠绕成型的基本原理,针对一类具有大滞后及模型慢时变的轮胎胎面缠绕控制系统,提出了一种自适应预测控制方案,在胎面缠绕系统的组成及控制原理进行分析的基础上,对其自适应预测控制进行了仿真研究。该方案增强了系统的跟踪性及鲁棒性。     

Adaptive recurrent-neural-network control for linear inductionmotor

In this study an adaptive recurrent-neural-network controller (ARNNC) is proposed to control a linear induction motor (LIM) servo drive. First, the secondary flux of the LIM is estimated with an adaptive flux observer on the stationary reference frame and the feedback linearization theory is used to decouple the thrust force and the flux amplitude of the LIM. Then, an ARNNC is proposed to control the mover of the LIM for periodic motion. In the proposed controller, the LIM servo drive system is identified by a recurrent-neural-network identifier (RNNI) to provide the sensitivity information of the drive system to an adaptive controller. The backpropagation algorithm is used to train the RNNI on line. Moreover, to guarantee the convergence of identification and tracking errors, analytical methods based on a discrete-type Lyapunov function are proposed to determine the varied learning rates of the RNNI and the optimal learning rate of the adaptive controller. The effectiveness of the proposed control scheme is verified by both the simulated and experimental results. Furthermore, the advantages of the proposed control system are indicated in comparison with the sliding mode control system     

SR107-ZK白漆在轨飞行性能退化分析

根据北斗一号卫星天线在轨的实际飞行温度,反推出了SR107-ZK白漆的太阳吸收比αs退化曲线,并根据该曲线外推,得到了8年寿命末期的太阳吸收比αs,预测了卫星寿命末期天线反射面的最高温度。     

无喷管助推器组合药柱研究

为提高无喷管助推器的有效比冲,研究了由2种不同燃速推进剂组成的组合式药柱助推器性能.采用一维非定常变截面有加质内弹道计算模型,考虑推进剂侵蚀燃烧等因素的影响,针对3种方案组合药柱(前后串装分段药柱、恒定厚度层分层药柱、可变厚度层分层药柱)分别进行了数值计算.计算结果表明,组合药柱可使无喷管助推器的压强峰值降低,平均工作...     

DC/DC变换器抗辐射试验

文章以ZHDC28S05/18W型数字化DC/DC变换器(额定输入28V,输出5V/3.6A)为例,制定了DC/DC变换器辐射总剂量和单粒子效应试验的方案并进行了摸底试验,根据试验结果更换了集成功率芯片LM2596-ADJ,使产品的抗辐射性能有了明显提高.