基于PCC的双馈风力发电系统励磁控制器的研究

在分析现有变速恒频双馈风力发电励磁控制系统的基础上,提出了一种基于PCC的双馈励磁控制器的实现方案;以PCC可编程控制器作为励磁控制器的核心控制器,简化了系统硬件结构,提岛了系统稳定性和系统的反应速度;通过搭建仿真实验系统,原动机采用15kW交流异步电机来模拟风机,双馈发电机采用绕线式感应电机,以整流模块和逆变模块组合为双向变流器,加入PCC励磁控制器,进行起励、故障切除等的仿真实验,检测了在发电机转速发生变化和跨越同步转速的情况下励磁控制器的工作情况和效果,实验结果证明,该方案完全满足实际要求.     

自动测试系统中的仪器设备驱动通用封装研究

在目前的自动测试系统软件开发中,虚拟仪器设备指令的非通用性会导致系统开发繁琐、无法集成等问题,针对这些问题提出了一种适合大部分仪器设备的封装方法;这种封装方法,通过动态链接库的形式将事件处理机制嵌入到仪器驱动封装里,拥有跨平台、适用面广、开发速度快和仪器可互换等特点;经过在实际雷达射频模块自动测试系统项目中的应用,结果表明该方法能够实现跨平台操作、具有仪器互换和封装简便等特点,并且表现出极强的通用性,具有一定的实用性和推广价值.     

智能科学与技术本科专业“小学期”制教学思考

针对湖南大学智能科学与技术专业现行本科教学计划专业特色、学科交叉性等问题,在分析新的小学期制度基础上,本文阐述新制订的智能科学与技术专业本科教学计划,并探索了小学期制度下教学改革的部分举措,以期通过调整和改革使湖南大学智能科学与技术本科专业的建设更上一个台阶,为本专业的人才培养作出积极贡献。     

MVC和.NET相结合的高职课程形成性考核系统开发

结合MVC和.NET中Web开发特点,构建了MVC设计模式在.NET中的应用方案,根据形成性考核要求,划分形成性考核系统功能模块,进行了MVC和.NET相结合的高职形成性考核系统设计,最后对系统关键技术和设计过程进行了分析和描述。     

A fast algorithm for computing moments of gray images based on NAM and extended shading approach

Computing moments on images is very important in the fields of image processing and pattern recognition. The non-symmetry and anti-packing model (NAM) is a general pattern representation model that has been developed to help design some efficient image representation methods. In this paper, inspired by the idea of computing moments based on the S-Tree coding (STC) representation and by using the NAM and extended shading (NAMES) approach, we propose a fast algorithm for computing lower order moments based on the NAMES representation, which takes O(N) time where N is the number of NAM blocks. By taking three idiomatic standard gray images ‘Lena’, ‘F16’, and ‘Peppers’ in the field of image processing as typical test objects, and by comparing our proposed algorithm with the conventional algorithm and the popular STC representation algorithm for computing the lower order moments, the theoretical and experimental results presented in this paper show that the average execution time improvement ratios of the proposed NAMES approach over the STC approach, and also the conventional approach are 26.63%, and 82.57% respectively while maintaining the image quality.     

Fast feature-based mode decision for 4×4 intra prediction in H.264/AVC

Intra coding in H.264/AVC can significantly improve the compression efficiency at the cost of high computational complexity due to the use of the rate-distortion optimization technique.To reduce the complexity of intra prediction,we propose a feature-based mode decision algorithm for 4×4 intra prediction.This algorithm is motivated by the fact that a good prediction mode usually has a small residue block,which is the difference between the original block and predicted block.The sum of the absolute transformed coefficients and deviation information of residue block are used to measure the distortion of prediction mode and the smoothness of residue block,respectively.According to the ranking of these two features of all possible modes,and together with the most probable mode,small numbers of candidate modes can be determined.Moreover,the candidate modes are further reduced to only one by using two early termination rules based on the correlation of rank and most probable mode.Simulation results demonstrate that the proposed mode decision method reduces about 60% of total encoding time of intra coding with negligible loss of coding performance.     

Global optimization of tool path for five-axis flank milling with a conical cutter

In this paper, optimum positioning of the conical cutter for five-axis flank milling of slender surfaces is addressed from the perspective of approximating the tool envelope surface to the data points on the design surface following the minimum zone criterion recommended by ANSI and ISO standards for tolerance evaluation. Based on the observation that a conical surface can be treated as a canal surface, i.e. envelope surface of one-parameter family of spheres, the swept envelope of a conical cutter is represented as a sphere-swept surface. Then, an approach is presented to efficiently compute the signed distance between a point in space and the swept surface without constructing the swept surface itself. The first order differential increment of the signed point-to-surface distance with respect to the differential deformation of the tool axis trajectory surface is derived. By using the distance function, tool path optimizations for semi-finish and finish millings are formulated as two constrained optimization problems in a unified framework, and a sequential approximation algorithm along with a hierarchical algorithmic structure is developed for the optimization. Numerical examples are given to confirm the validity and efficiency of the proposed approach. Comparing with the existing approaches, the present one improves the machining accuracy greatly. The rationale developed applies to general rotary cutters.     

电磁式爬壁机器人平台

本文介绍了一种新型电磁式爬壁机器人平台。机器人平台从客观需求出发,利用电磁铁可以吸附铁质物体的原理,实现机器人在铁质壁面上竖直攀爬。机器人平台以单片机为控制核心,控制四只仿生脚的行动和电磁铁的吸附,由无线控制器实现远程控制。平台搭载多种传感器,以检测机器人周围的环境状态,并应用无线传输技术,将传感器监测数据时时传回控制电脑。还可由电脑控制,利用机器人上加装的机械臂,完成简单操作。本项目作品可以应用于强热辐射、浓烟、污染气体等复杂环境的场所实施远程测控,也可以应用于船体、高炉检测等方面。     

IPv4&IPv6共存网络隧道发现方法研究

本文对当前IPv4&IPv6共存网络中的隧道技术进行分析,提出一套改进型的基于源路由单点探测的骨干网隧道发现方法。该方法根据路径中双栈节点间的跳数变化和PMTU变化情况发现隧道,可以发现骨干网络交叉链路中的多级隧道。这对进一步研究过渡时期的网络拓扑发现技术具有一定的参考价值。     

基于人工神经网络的智能设计系统研究与实现

针对轴对称的拉深零件的设计,引入了特征编码文件概念,将零件特征以特征编码的形式表示出来。为了实现过程状态模型的智能输出,运用人工神经网络实现自动推理的功能;通过智能推理系统,除去了经验化设计中的不断摸索和改进,将零件的特征造型输入之后,系统能够自动确定零件的工艺流程,进而实现自动化生产。系统能够帮助开发和设计人员迅速的产生设计实例,使开发人员能够更专注于产品的创新活动,对于提高企业的产品设计和研发能力有着重要的实际意义。