一种降压型开关电源芯片电路的研究与设计

设计了一款PWM控制模式降压式（buck）直流一直流转换器芯片。该芯片为电压反馈控制模式,内部补偿使得反馈控制有很好的线性和很快的负载响应而无需通过外部设计。芯片采用CMSC0．5μm BCD工艺实现。PSPICE仿真结果表明,输出电压只有大约50mY的纹波,静态电流为3mA左右。输出电压在低于0．5V时,芯片具有短路降频功能,工作频率由81KHz降到23KHz左右,输出负载由0．2A跳变到2A时具有很好的负载调整率,大约为0．2％,转换效率可以达到85％以上。     

高铁车厢内部紧急情况下人员疏散仿真研究

在引入元胞自动机理论的基础上,模拟分析了紧急情况下人员生理及心理的不同对疏散过程的影响,通过人员动态调整自身行为,并引入人员竞争力,对人员疏散过程建立模型。在疏散过程中,根据存在着一定程度的外部干扰因素,提出疏散干扰度概念。计算机仿真的结果表明,考虑人员竞争力,以及出口疏散干扰的问题,可以更加真实地模拟人员紧急疏散过程和疏散状况。     

基于VPN的远程粮情检测系统通讯软件研究

针对本地化粮情检测系统实现远程操作,研究Winsock与VPN技术在系统通讯软件中的应用。VPN技术可以大幅降低搭建专网所需的网络设备成本与管理难度,使用Winsock技术可以提供完整的TCP/IP底层协议从而减少程序开发时间。本文设计一种基于VPN的远程粮情检测系统的通讯软件,在多线程下有效利用套接字的拥塞模式并完成网络状态自检,通过设置VPN客户端提升网络传输速度,实现系统通讯软件安全、可靠、快速的运行。     

基于HEVC的帧内快速模式选择算法

为了解决高效率视频编码(High Efficiency Video Coding,HEVC)复杂度过高的问题,基于粗粒度模式选择(Rough Mode Decision,RMD)过程提出一种降低编码复杂度的方法。该算法充分利用了RMD候选队列的相似程度和预测模式在方向上的相关性这两个特性,进一步减少了进入率失真优化过程(Rate Distortion Optimization,RDO)的预测模式数量,达到了降低编码复杂度的目的。实验结果表明,该算法在编码质量损失0.5%的情况下节省了近22%的编码时间。     

Change of the amorphous state by heat treatment below the glass transition temperature

This study was undertaken to elucidate the state of a polymer in the amorphous state through a change of motion of the molecular chain caused by heat treatment below the glass transition temperature. From dielectric measurements of amorphous poly(ethylene terephthalate) heat-treated below T_g, it was found that the average relaxation time, the distribution of relaxation time and the dielectric strength increase with increase of heat treatment. From these results, it was concluded that the amorphous state becomes more random by heat treatment.     

金安金沙江悬索桥隧道式锚碇变形破坏机制研究

隧道式锚碇的变形破坏机制涉及到结构与围岩的协同作用问题。以华丽高速公路金安金沙江悬索桥两岸隧道锚变形破坏机制为研究对象,利用工程类比法评价了其稳定性控制要素,设计了超载数值试验。根据塑性区的扩展过程确定了施工安全监测和需要采取预加固的重点部位,确定了隧道锚围岩的破坏模式。根据锚面监测点位移由mm到cm量级突变确定的两岸锚岩系统极限荷载均为6~8倍设计缆力,则锚岩系统的设计承载力取3倍设计缆力下变形安全是有保障的。丽江岸塑性区在10 P下贯通;华坪岸塑性区在14 P下贯通。设计缆力作用下,丽江岸锚碇最大位移1.5 mm、围岩1.2 mm、地表0.5 mm;华坪岸锚碇最大位移1.7 mm、围岩1.5 mm、地表0.7 mm,其响应顺序为后锚面监测点前锚面监测点锚碇中间岩体地表点,可作为后期结构及围岩安全监测布点和预警的参考,也证明当前设计缆力下变形和强度均是安全的。     

Sliding mode control for Markov jump linear uncertain systems with partly unknown transition rates

In this paper, based on sliding mode control approach, the robust stabilisation problem for a class of continuous-time Markovian jump linear uncertain systems with partly unknown transition rates is investigated. The transition rate matrix under consideration covers completely known, boundary known and completely unknown elements. By making use of linear matrix inequalities technique, sufficient conditions are presented to derive the linear switching surface and guarantee the stochastic stability of sliding mode dynamics. Then a sliding mode control law is designed to drive the state trajectory of the closed-loop system to the specified linear switching surface in finite time in spite of the existing uncertainties and unknown transition rates. Finally, an example is given to verify the validity of the theoretical results.     

Underactuated fingers controlled by robust and adaptive trajectory following methods

Choosing an appropriate control scheme to alleviate nonlinearities and uncertainties is not a trivial task, especially when models are not easily available and practical evaluation provides the only means for actual performance assessment. Various factors can contribute to these nonlinearities and uncertainties, such as friction and stiction. Thus, this article investigates four different control schemes, namely PID, adaptive, conventional sliding mode control (SMC) and integral sliding mode control (ISMC) which are implemented in the Bristol Elumotion Robot Hand (BERUL) to analyse and overcome the aforementioned problems. The hand has five fingers with 16 joints and all fingers are underactuated. The implementation of the proposed control schemes are challenging since the BERUL fingers have significant friction, stiction and unknown parameters. The fingers are light in weight and fragile. Comparative performance characteristics have shown that the ISMC is the most suitable candidate to provide good experimental trajectory following and positioning control for underactuated BERUL fingers.     

Adaptive training interfaces for less-experienced,elderly users of electronic devices

A great number of complex electronic devices are now part of our everyday lives. While many of us learn to handle these products by trial and error; others, especially older users with little experience in using electronic devices, need support. In order to allow the user maximum flexibility in terms of learning time and location, a training programme is presented which is implemented as part of the software embedded in the product itself. Particular focus is placed on the effect of adaptive training on learning. In this study, the training versions differed in their ability to adjust their complexity to the user's experience (adaptive user interface complexity) and their capability to support the learner by prompting them during the learning process (adaptive training advice). The results show that the adjustment of complexity had a positive effect on users’ experience: elderly users who trained with an adaptive interface were more successful in learning to use a mobile phone. Adaptive training advice, however, was found to have no significant effects on learners’ success and reduced their self-efficacy. This work offers guidelines on how to design integrated training applications for electronic devices that successfully help elderly users with little prior experience.