高职计算机实践课与“任务驱动”教学

高职计算机实践课程具有较强的实践性、应用性。基于这一特点,"问题(任务)驱动"是一种将传统教学方式转变为以解决问题、完成任务为主的多维互动式的教学理念;采用实际生活中的典型案例开头(提出问题、明确目标),逐渐展开(分析解决问题),将知识点融入任务之中,完成任务的同时又掌握相应的基本知识。是将再现式教学转变为探究式学习的一种方式。     

基于ASL的模型驱动架构测试方法

针对模型驱动架构（MDA）下的软件开发方法中测试启动比较晚、难以发现隐藏在模型中的缺陷及UML模型描述缺乏精确语义等问题,提出了基于ASL的模型测试方法：从UML模型出发,将动作规约语言（ASL）运用于平台无关模型（PIM）上建立测试模型。给出了ASL语句在MDA过程中的工作原理、平台无关模型的建立过程、测试用例建立的步骤、测试执行的实施过程,最后结合实例,在UML图的基础上运用ASL对测试环境进行构建,并创建了系统的测试用例,对模型及业务逻辑进行了测试。实验结果表明,提出的基于ASL的模型测试方法既能利用模型驱动对复杂的测试用例进行简化和抽象,又能在软件生存期早期揭示软件的缺陷,防止缺陷随着软件开发过程的进行而被放大。     

也谈士官教育——Word一堂课教学设计

熟练掌握office办公软件,是士官学员毕业后参与部队训练、管理、教育必须掌握的技能。为了培养士官学员的这一技能,针对士官职业技术教育中实施信息技术基础教学既要引导学员对办公自动化软件基本功能的熟悉,又要有效指导学员具体实践操作,还要在所学知识的基础上能有拓展提高的要求,在Word一堂课教学实施过程中,可以采取任务驱动,能力训练项目来展开教学,以达到理想的成效。     

VLSI布局算法分析

布局是VLSI物理设计阶段的关键步骤,用于确定模块在芯片上的位置,随着电路设计复杂度不断提高,高效的自动布局算法变得愈发重要。对布局问题进行了描述,总结了布局算法中常用的线长模型,分析了传统的3类布局算法及可布线性驱动的布局算法,并给出了布局算法的未来发展趋势。     

直接驱动XY平台位置域轮廓跟踪控制

针对直接驱动XY平台轮廓误差近似模型建立困难的问题,提出一种提高轮廓跟踪性能的位置域轮廓跟踪控制方法.通过将双轴运动系统等效为主-从运动方式,主动轴(X轴)以位置量作为自变量,将从动轴(Y轴)的运动描述为不同轮廓跟踪要求的X的函数.通过从时域到位置域的一一映射,得到双轴运动系统的位置域动态模型.提出了位置域PD控制策略,主动轴运动以自身为参考产生的位置跟踪误差为零,仅有从动轴的运动跟踪误差影响到了最后的轮廓误差.仿真结果表明,位置域轮廓控制相比时域轮廓控制能够获得更好的跟踪精度.     

直驱型永磁同步风力发电机混沌运动的非线性比例控制

根据直驱型永磁同步风力发电机（DPMSG）的数学模型,通过仿射变换和时间尺度变换,将转子磁场定向坐标系下的永磁同步发电机模型变换成一种简单的无量纲数学模型。验证系统在某些参数条件下会出现混沌运动,提出直驱型永磁同步发电机混沌运动的非线性比例控制方法。该方法以直轴和交轴电压为控制变量,通过发电机状态的非线性反馈,将直轴和交轴电流方程中的耦合项解耦,并使直轴和交轴电流可以跟踪设定值。该控制方法可以根据实际要求设置唯一稳定的平衡点。仿真结果表明了理论分析的正确性和有效性,为DPMSG风力发电系统的混沌控制提供了有效的控制方法。     

叠板式多缸薄板成型液压机参数化设计

在已有的300 MN多缸薄板成型液压机的基础上,运用基于VB的SolidWorks二次开发方法与自顶向下完全建模技术,通过驱动模型关键尺寸参数,对新产品进行参数化设计,并用ANSYS仿真优化.通过参数化设计可使该类产品系列化,提高新产品研发速度,促进该类型产品的国产化.     

Composite adaptive dynamic surface control using online recorded data

This paper presents an online recorded data‐based design of composite adaptive dynamic surface control for a class of uncertain parameter strict‐feedback nonlinear systems, where both tracking errors and prediction errors are applied to update parametric estimates. Differing from the traditional composite adaptation that utilizes identification models and linear filters to generate filtered modeling errors as prediction errors, the proposed composite adaptation integrates closed‐loop tracking error equations in a moving time window to generate modified modeling errors as prediction errors. The time‐interval integral operation takes full advantage of online recorded data to improve parameter convergence such that the application of both identification models and linear filters is not necessary. Semiglobal practical asymptotic stability of the closed‐loop system is rigorously established by the time‐scales separation and Lyapunov synthesis. The major contribution of this study is that composite adaptation based on online recorded data is achieved at the presence of mismatched uncertainties. Simulation results have been provided to verify the effectiveness and superiority of this approach. Copyright © 2016 John Wiley & Sons, Ltd.     

Precise control of reflection response in bandwidth‐enhanced planar antennas

In this work, the issues of bandwidth enhancement of planar antennas and the relevance of precise and automated response control through numerical optimization have been investigated. Using an example of a planar antenna with parasitic radiator we illustrate possible effects of even minor modifications of the antenna geometry (here, applied to the ground plane) on its reflection performance. In particular, a proper handling of geometry parameters may lead to considerable broadening of the antenna bandwidth. For the sake of computational efficiency, the adjustment of geometry parameters is carried out using surrogate‐based optimization methods exploiting coarse‐discretization EM simulations as the underlying low‐fidelity antenna model. Additionally, suitably defined penalty function allows us to precisely control the maximum in‐band reflection so that sufficient margin to accommodate possible manufacturing tolerances can be achieved. The optimized designs of the two antenna structures considered in this work exhibit over 1.75 GHz (>31%) and 2.15 GHz (>38%) bandwidth, respectively, for the center frequency of 5.6 GHz. Simulation results are validated using measurements of the fabricated prototypes. Comparison with state‐of‐the‐art designs is also provided. © 2016 Wiley Periodicals, Inc. Int J RF and Microwave CAE 26:653–659, 2016.     

Modeling and robust discrete LQ repetitive control of electrically driven robots

Discrete linear quadratic control has been efciently applied to linear systems as an optimal control.However,a robotic system is highly nonlinear,heavily coupled and uncertain.To overcome the problem,the robotic system can be modeled as a linear discrete-time time-varying system in performing repetitive tasks.This modeling motivates us to develop an optimal repetitive control.The contribution of this paper is twofold.For the frst time,it presents discrete linear quadratic repetitive control for electrically driven robots using the mentioned model.The proposed control approach is based on the voltage control strategy.Second,uncertainty is efectively compensated by employing a robust time-delay controller.The uncertainty can include parametric uncertainty,unmodeled dynamics and external disturbances.To highlight its ability in overcoming the uncertainty,the dynamic equation of an articulated robot is introduced and used for the simulation,modeling and control purposes.Stability analysis verifes the proposed control approach and simulation results show its efectiveness.