自律分散的多维度电网薄弱环节跟踪及分析系统设计与实现

设计并实现了一种基于自律分散系统模型的多维度电网薄弱环节跟踪及分析系统。首先,介绍了基于自律分散模型的软件设计理念,并设计了基于定时轮循和数据驱动的柔性计算控制逻辑;其次,设计了分层解耦管理框架并实现了功能模块的标准化设计和管理;接着,给出了多维度电网薄弱环节跟踪及分析系统的设计方案;最后,使用该设计方案实现了电网安全稳定运行薄弱环节跟踪及分析系统和电网电能质量薄弱环节跟踪及分析系统。案例分析表明,所设计自律分散电网薄弱环节跟踪及分析系统对薄弱环节定义、分析方法、数据来源和结果展示等维度多样性具有较好的适应性。     

图像处理在平面零件分拣控制中的应用

针对目前PLC系统对同材质、同体积零件的分拣困难,提出了给PLC系统引入视觉技术的方法。利用DDE技术将Matlab与PLC结合一起,共同完成平面零件的识别和分拣。Matlab主要完成零件图像的获取和比对识别,并将识别结果传送给PLC,而PLC则根据所接收到的识别结果,控制气缸动作,完成多种结构复杂零件的分拣任务。     

多关节自主游动机器鱼的设计与控制

为研究机器鱼设计过程中的关键问题(如密封、配重)以及机器鱼控制中的难点(如逼真的模拟鱼的游动),设计了四关节且可以自主游动的鲹科机器鱼研究平台,展示了机器鱼机械结构和控制系统的设计过程。水下实验证明此机器鱼平台可行而有效,能够真实地模拟真鱼的游动姿态和行为,可用于后续研究,如提高机器鱼的游动效率、优化机器鱼的控制算法等。     

圆柱齿轮径向综合偏差测量与分析方法

针对圆柱齿轮传动过程中的振动、噪声及径向综合偏差难以快速检测的问题,应用了经典的双面啮合齿轮测量机理,设计出了一种适应于生产现场的圆柱齿轮制造精度误差快速检测的综合滚动检查机。生产现场的100个同规格圆柱齿轮经由以上分析方法进行了相关实验,并将传动过程中产生的振动、噪声及径向综合偏差在 MATLAB 平台下输出曲线图。最后,精确检测出轮齿表面制造误差及缺陷,实现了出厂齿轮快速分拣动作,为工厂快速评定齿轮传动质量优劣提供了一种行之有效的测量方法。     

一种全国产化多接口便携式测试设备

为满足某系列武器装备对测试设备自主可控及便携化的需求,设计一款全国产化多接口的便携式测试设备。该设备采用国产处理器和国产操作系统,结合外场测试应用的实际需求,用于对被测装备提供激励电源、激励信号及进行电性能测试;基于龙芯2K1000J CPU设计,通过FPGA扩展多种功能接口,采用全国产化的软、硬件。实践应用结果表明:该设备减少了现场其他测试设备的种类,携带方便,操作简单,提升了装备维护的便利性,自主可控等级高。     

基于Python 视觉识别的双模双动力水面垃圾清理船

为解决目前市面上2 种最为常见的水面垃圾清理装置存在的不足,设计一种基于Python 视觉识别的双模 双动力水面垃圾清理船。对其机械结构、双动力装置、视觉识别模块等进行详细说明,并针对实际工作环境对机器 人进行多次测试和改进。结果表明：该设计能便捷高效地清理小型水域水面漂浮物问题,完全符合目标要求。     

Electrodynamically actuated on-chip flow cytometry with low shear stress for electro-osmosis based sorting using low conductive medium

In the proposed paper, we demonstrate on-chip electrodynamically driven actuator flow cytometry, based on negative dielectrophoretic (nDEP) focus and alternating current electro-osmotic flow (ACEOF) sorting technique. This single chip can perform three different functions such as focusing, transportation of beads/cells to detection site and reloading the unsorted ones with two distinctive phenomena. AC EOF is achieved by the design of the asymmetric electrode pair’s array and nDEP is used to focus the beads/cells in-line. The design, simulation and experimental results of the proposed microchip are reported in this paper. The simulation and experimental results reveal well defined stable region for nDEP and ACEOF driving force. The potential severe shear stress damage caused by the sheath flow in conventional flow cytometry is eliminated. In addition, to explore the influence of conductivity of the medium, we have used low conductive formulated medium with conductivity of 81.4 μS/cm. The voltage and the frequency required to manipulate the particles decreased comparatively with the use of this medium.     

Corrigendum to the paper ‘Linear Time Varying Model Predictive Control and its Application to Active Steering Systems: Stability Analysis and Experimental Validation’ (International Journal of Robust and Nonlinear Control 2008; 18(8):862–875)

This note is a corrigendum of the paper ‘Linear Time Varying Model Predictive Control and its Application to Active Steering Systems: Stability Analysis and Experimental Validation’, published on the volume 18, issue 8, pages 862–875 of the International Journal of Robust and Nonlinear Control in 2008. Next we point out a technical error in the proof of Lemma 2 of the paper, and provide the corrected version of the lemma. Copyright © 2011 John Wiley & Sons, Ltd.     

Determination of optimal operating conditions for a polymer electrolyte membrane fuel cell stack: optimal operating condition based on multiple criteria

A methodology for optimal control of the polymer electrolyte membrane fuel cell (PEMFC) with multiple criteria is presented here. In this regard, thermoelectric objectives and thermoeconomic objective are considered, simultaneously. The proposed fuel cell is a 1200 W Ballard PEMFC namely Nexa? power module. The net power density and exergetic efficiency of the PEMFC are maximized, and the unit cost of the generated power is minimized in a multi‐objective optimization procedure using the NSGA‐II (non‐dominated sorting genetic algorithm). Operating temperature and pressure, air stoichiometric coefficient at the cathode and the current density are considered as controlling parameters in order to acquire optimal performance of the PEMFC. A set of optimal solution namely the Pareto frontier is obtained, and a final optimal solution is selected from available solutions located on the Pareto frontier using the fuzzy decision‐making process based on the Bellman–Zadeh approach. Results are compared with corresponding results obtained previously in single objective optimization scenarios. It has been shown that the optimal operating condition obtained based on the multiple criteria approach has least deviation from the ideal features of the fuel cell in comparison to the corresponding optimal solution obtained in conventional single‐objective optimization approaches. Copyright © 2013 John Wiley & Sons, Ltd.     

Technical note: Evaluation of procedures for analyzing ration sorting and rumen digesta particle size in dairy cows

Collecting total mixed ration (TMR) samples throughout the day to measure sorting activity of dairy cows may cause changes to the sorting behavior of cows or may make it more difficult to elucidate effects of sorting on TMR particle size distributions. Also, forage particle size research commonly includes analysis of the solid portion of rumen digesta for particle size distribution after digesta has been squeezed through several layers of cheesecloth. Therefore, the first objective of this experiment was to determine if collecting TMR samples throughout the day affected sorting behavior of cows and resulted in a different particle size distribution than when TMR was not artificially altered during the day. The second objective of this experiment was to determine if squeezing rumen digesta samples through cheesecloth changed particle size distribution when analyzed by a wet sieving technique. It was determined that small, significant differences existed in particle size distribution between the 2 sampling methods of TMR for sorting behavior. These differences were more likely to occur at time points later in the day. This resulted in small changes in sorting indices calculated from these data; sampling and mixing TMR throughout the day reduced the degree of sorting. Squeezing rumen digesta through 4 layers of cheesecloth had no effect on particle size distribution of particles >0.15 mm but reduced the amount of rumen fluid-associated dry matter contained in the sample.