研磨抛光机器人运动控制器设计与研究

本文设计了研磨抛光机器人运动控制器的核心硬件结构和软件模块,采用了参数模糊自整定PID机器人关节位置控制策略,通过实验表明该运动控制器可以大大降低研磨抛光机器人的位置跟踪误差。建立的模块化的软件体系,便于运动控制器的维护和扩展,并可将其应用到其它工业机器人上。

基于DSP旋翼飞行机器人增稳操纵杆设计

本文首先介绍了旋翼飞行机器人控制系统的功能与应用,着重介绍了其中基于tmx320f28335数字信号处理器的无线增稳操控系统工作原理、硬件构架以及软件流程,并对AD转换过程中的关键FIR滤波算法进行说明,详尽比较了不同滤波参数对滤波效果的影响,最后得到该方法可以应用于旋翼飞行机器人增稳控制系统的结论,并将应用该方法滤波后的控制信号应用于实际增稳飞行,以实际数飞行据验证上述结论。

一种光纤陀螺仪的开发

介绍了应用前苏联Fizoptika公司生产的 94 1 3AM光纤陀螺传感器 ,利用单片机最小系统开发了角速度测量和旋转角度测量仪 ,可测量旋转物体的角度和角速度 .给出了光纤陀螺仪的硬件组成、软件设计思想及标定方法

基于CAN总线的分布式数据采集与控制系统

本文给出了一种基于 CAN总线的分布式数据采集与控制系统的设计与应用，介绍了 CAN总线的硬件接口电路设计，并对系统的整体结构、硬件配置、软件功能及各节点功能分别作了详细说明。实验表明，该系统具有结构简单、可靠性高、性能价格比高等特点，有广阔的应用前景。

基于8098单片机的气压伺服及数据采集系统

本文介绍了一种以8098单片机为核心器件的气压伺服及数据来集系统，包括硬件设计，软件编程及测控原理。

基于CDMA技术的无线监控系统的研究与应用

利用CDMA技术,可以完成控制中心对移动终端设备的无线监控,从而实现监控系统的高质量性,高效率性以及高抗干扰性。本文给出了一种基于CDMA技术的无线监控系统方案,主要介绍了这种无线监控系统在警犬机器人中的应用,其中重点讨论了该应用系统的硬件组成以及软件的设计与功能实现。

高可靠性红外车辆分离器设计与应用

本文给出了一种针对公路自动收费系统的车辆分离检测而设计的,利用红外线发射和接收所形成的光幕,完全消除跟车现象,并能将半挂车、全挂车、单车可靠分离的红外车辆分离器。高可靠性红外车辆分离器的设计很好克服了传统红外车辆分离器环境适应性差、故障率高等缺点。本文还介绍了光幕形成的基本原理,并阐述了硬件关键点及实现方法,给出了系统硬件原理图、软件基本设计思想。

基于LON与CAN现场总线的智能协议转换器

本文介绍了基于LON与CAN总线的智能协议转换器的工作原理、硬件电路设计及其软件设计，并在文章的最后给出了设计中应注意的问题及解决方法。该协议转换器成功地解决了两种不同控制网络之间的通信问题。

模糊控制在现场总线控制系统中的应用

介绍了如何把模糊控制算法与现场总线中的CAN总线结合起来应用于控制系统 ,并设计了一种智能型模糊控制算法 ,给出了系统的整体结构和现场模糊控制单元的硬件实现电路及其软件设计思路 ;系统的仿真结果表明 ,该系统实时性好 ,控制精度较高 ,鲁棒性强 ,在现场控制中有效可行

基于CAN总线的路桥收费系统

介绍了基于CAN总线的路桥收费系统的设计与应用 ,给出了收费系统的整体结构 ,并对系统的硬件配置、软件功能作了详细说明。现场应用表明 ,该系统结构简单 ,可靠性高 ,应用灵活

CAN总线在粮情测控系统中的应用

现场总线的发展与应用引起了传统控制系统结构的改变，ＣＡＮ总线因其自身的特点被广泛应用于自动控制领域。本文介绍了一种基于ＣＡＮ总线的粮情测控系统，给出了系统的总体结构，并对系统的硬件配置和软件功能作了详细的说明。实际应用表明本系统具有结构简单、可靠性高、灵活方便等优点，并且具有较好的性能价格比，有着广泛的应用前景。

New method for analysis of Chinese herbal complex prescription and its application

Traditional Chinese medicine (TCM) is a great treasure of China, the analysis of which is an arduous task. The viewpoint that all chemical constituents of Chinese herbal complex prescription should be analyzed as a black box is elucidated for the first time. Intelligent multi-mode multi-column chromatographic system (IMMCC) with its hybrids is the basic method and HPLC Unified Method is the breakthrough for the black box analysis. Dang-Gui-Bu-Xue-Tang was selected as a typical TCM and a systematic separation method from non-aqueous mobile phase to pure water mobile phase was put forward in order to convert unknown sample to known sample. The a, c values and UV spectra of 66 components of Astragalus, 78 components of Angelica and 71 components of Dang-Gui-Bu-Xue-Tang were obtained. Intelligent optimization and peak identification method and software for complex samples were developed and the optimum multi-step multi-binary gradient curve of mobile phase for Astragalus was ascertained. The maximum error and minimum error of predicted retention time for all components of Astragalus are 8.62% and 0.05% respectively. All components of Astragalus were compared with those of Angelica and it is found that many components of Astragalus are the same as those of Angelica, while the contents of these components are different. Many components of Dang-Gui-Bu-Xue-Tang are also the same as those of Astragalus and Angelica with different contents.

a backtracking search tool for constructing combinatorial test suites

Combinatorial testing is an important testing method. It requires the test cases to cover various combinations of parameters of the system under test. The test generation problem for combinatorial testing can be modeled as constructing a matrix which has certain properties. This paper first discusses two combinatorial testing criteria: covering array and orthogonal array, and then proposes a backtracking search algorithm to construct matrices satisfying them. Several search heuristics and symmetry breaking techniques are used to reduce the search time. This paper also introduces some techniques to generate large covering array instances from smaller ones. All the techniques have been implemented in a tool called EXACT (EXhaustive seArch of Combinatorial Test suites). A new optimal covering array is found by this tool.

semantic oriented ontology cohesion metrics for ontology-based systems

Ontologies play a core role to provide shared knowledge models to semantic-driven applications targeted by Semantic Web. Ontology metrics become an important area because they can help ontology engineers to assess ontology and better control project management and development of ontology based systems, and therefore reduce the risk of project failures. In this paper, we propose a set of ontology cohesion metrics which focuses on measuring (possibly inconsistent) ontologies in the context of dynamic and changing Web. They are: Number of Ontology Partitions (NOP), Number of Minimally Inconsistent Subsets (NMIS) and Average Value of Axiom Inconsistencies (AVAI). These ontology metrics are used to measure ontological semantics rather than ontological structure. They are theoretically validated for ensuring their theoretical soundness, and further empirically validated by a standard test set of debugging ontologies. The related algorithms to compute these ontology metrics also are discussed. These metrics proposed in this paper can be used as a very useful complementarity of existing ontology cohesion metrics.