一种全新的硅微阵列陀螺仪

介绍了一种全新的硅微阵列陀螺仪的结构设计、模态仿真、电路闭环控制、数据融合方法和相关的的实验结果。基于热弹性阻尼理论的数值仿真,利用结构解耦的方法设计了硅微阵列陀螺仪的四质量块结构。利用ANSYS软件对硅微阵列陀螺仪的驱动模态和检测模态进行了仿真,仿真结果表明：硅微阵列陀螺仪共有四种不同的工作模态。根据静电力反馈原理,设计了基于数字锁相控制和数字闭环控制方法的控制电路。电路测试结构表明硅微阵列陀螺仪驱动模态的振动幅值的相对稳定性可以达到9×10-5。分析了硅微阵列陀螺仪的随机漂移特性,建立了漂移误差模型,并设计了卡尔曼滤波器以获取硅微阵列陀螺仪的随机漂移的最优估计。利用多传感器信息融合算法,硅微阵列陀螺仪的零偏稳定性可以提高10倍。     

硅微阵列陀螺仪的仿真、设计与测试

为了提高硅微机械陀螺仪的精度和工作可靠性,提出了一种新的硅微阵列陀螺仪结构设计方案。该陀螺仪由4个质量块构成,采用半解耦结构设计,结构完全对称,驱动模态和检测模态的频率匹配性好。分析了硅微阵列陀螺仪的结构和工作原理,并利用ANSYS有限元软件进行了结构仿真,通过调节结构参数实现了各驱动模态与敏感模态固有频率的匹配。对阵列陀螺仪样品进行了测试,实验测试结果表明,驱动模态存在3个振型,同频反相振动的幅值最大,与仿真结果一致。     

z轴硅微陀螺仪高精度闭环驱动研究

提出了一种z轴硅微陀螺仪高精度闭环驱动方案.该方案实现了闭环驱动的相角和增益条件的解耦;对相角进行了优化控制,消除了驱动频率和驱动模态固有频率的相对频差影响;利用闭环回路中直流控制量与驱动力间的非线性关系,实现闭环自激控制.试验结果表明,1 h内,驱动频率变化的均方差为0.009 Hz,相对变化量为2.2ppm(1ppm=10-6);驱动幅度变化的均方差为0.002 5 mV,相对变化量为15ppm;驱动信号的噪声功率谱密度低于-100 dB.由此可见,本方案使陀螺仪驱动性能得到了极大提高.     

微机械振动陀螺仪闭环驱动电路分析与设计

为了提高微机械振动陀螺仪输出信号的灵敏度,通常要求驱动信号频率与陀螺仪驱动模态的谐振频率相匹配,且驱动信号幅值稳定.驱动电压信号要满足这些要求,必须采用闭环驱动方式.完整地推导了闭环驱动电路的内在机理,探讨了自激振荡与锁相环两种实现方式,并给出了具体的电路原理框图.     

基于相位控制的硅微机械陀螺驱动控制技术

全面分析、研究并实现了一种基于相位控制的硅微机械陀螺(Silicon micromechanical gyroscope, SMG)驱动控制技术. 分析了硅微陀螺驱动模态的动力学特性,阐述了相位控制方案的基本原理; 在此基础上建立了控制环路,采用自激振荡理论分析了其稳定性; 建立了环路的相位模型,引入特异因子实现相位控制误差到频率差 (工作频率与驱动模态谐振频率之差)的转换; 建立了对应于相位控制环路的频率模型,当环路滤波器为一阶模型时, 与传递函数为二阶的信号跟踪锁相环(Phase locked loop, PLL)不同,总的闭环模型仅为一阶; 最后基于FPGA平台,采用线性鉴相方式设计了数字化相位控制环路, 并结合幅值控制实现了双闭环驱动控制电路.测试结果表明, 该方案可实现硅微陀螺驱动端的高精度控制.     

一种双线振动硅微机械陀螺仪驱动检测电路设计

以一种双线振动硅微机械陀螺仪为研究对象,设计了驱动、检测电路,达到了一定的性能要求。驱动模态使用自激振荡的闭环控制方式,使陀螺稳定工作在其固有频率上。在载波和驱动环节使用了一种AGC技术,实现了载波信号和驱动模态的幅度的高精度控制。使用二极管一次解调,简化了电路结构。检测部分使用了一种相位修正放大电路,有效减小了有用信号频率附近的幅相误差。     

硅微振动陀螺仪驱动器自激驱动研究

为了提高硅微机械陀螺仪的检测精度,稳定驱动振动速度的幅度和频率,采用了硅微机械陀螺仪自激驱动方式.该方式能够使驱动振动自动稳定在陀螺仪驱动模态的谐振频率上.同时,采用自动增益控制(AGC)保持恒定的驱动振动幅度.根据自激驱动电路原理和现有的陀螺样品,建立了陀螺仪驱动动力学方程的等效电路模型.设计、制作了自激驱动电路,仿真和实验结果表明该方法切实可行.     

基于自适应控制的硅微振动陀螺仪驱动电路研究

硅微振动陀螺仪驱动模态的稳定性对其性能及可靠性有着重要作用.自激驱动能够使单个驱动模态稳定谐振在固有频率上,但对于双驱动模态,由于微机械加工误差的影响,固有频率存在偏差,很难实现频率匹配.研究了基于自适应控制的硅微振动陀螺仪的驱动电路设计,通过固定频率信号驱动和自适应调谐实现双驱动模态的一致性.理论仿真和实验结果表明该设计切实可行.     

基于激励-校准法的硅微陀螺仪模态匹配控制电路研究

提出了一种基于激励-校准法的硅微陀螺仪实时模态匹配控制电路,利用了检测模态的幅度响应信号关于其谐振频率对称的特点,采用双边激励信号激励检测模态,通过比较双边信号的响应幅度大小来获得相应的调谐电压,实现模态匹配.介绍了静电负刚度调谐原理;然后设计了基于激励-校准法的硅微陀螺仪实时模态匹配控制方案,并分析了该法的误差来源;在Simulink环境下搭建了模态匹配控制电路模型,验证了该方案的可行性;最后,设计了基于FPGA的自动模态匹配控制电路.实验结果表明,相比于模态不匹配情况,模态匹配后的陀螺仪零偏稳定性系数由1.69 °/h降低到0.42 °/h,静态性能提升了4.02倍;角度随机游走系数由0.046 °/ h降低到0.0195 °/ h,静态性能提升了2.36倍.     

对称解耦硅微陀螺仪结构设计研究

硅微机械陀螺仪的驱动模态和敏感模态间的交叉耦合制约了其性能的提高。设计了一种对称解耦硅微机械陀螺仪,它的驱动机构与检测机构都做线性滑膜阻尼振动且完全解耦,使得驱动和敏感模态之间的耦合小、结构振动平稳性好、品质因数高。该微陀螺仪的驱动与检测支承梁完全相同且对称分布,使得驱动模态和敏感模态的谐振频率受加工误差和温度变化的影响近乎相同,所以频率匹配性好,结构的灵敏度大大提高。实验测试结果表明对称硅微机械陀螺仪的耦合误差得到了有效减小,并且它的驱动和检测谐振频率仅相差6Hz,其品质因数在空气条件下分别为145和117,检测模态的品质因数与采用压膜阻尼振动方式进行检测的硅微机械陀螺仪相比有了显著提高。     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

How do children do mathematics with LOGO?

Abstract  This paper considers some results of a study designed to investigate the kinds of mathematical activity undertaken by children (aged between 8 and 11) as they learned to program in LOGO. A model of learning modes is proposed, which attempts to describe the ways in which children used and acquired understanding of the programming/mathematical concepts involved. The remainder of the paper is concerned with discussing the validity and limitations of the model, and its implications for further research and curriculum development.