基于LabVIEW的软管脉冲实验模糊PID控制系统研究(英文)

软管脉冲实验台一般使用电液伺服系统,占用空间小,原理结构简单,信号跟踪能力强,在工业控制领域应用广泛。然而,由于液压反应速度慢、干扰因素多,因而控制精度低,系统不稳定;而传统的液压脉冲实验台单纯PID的控制方式原理简单,但参数调节困难。本文针对控制系统的特殊要求,提出了一种模糊PID控制方法,既保留了原控制系统的优点,又改善了原系统存在的参数时变、不稳定、滞后等缺点,提高了系统的适应能力和精度。经反复调试和试验,结果表明,该系统有效地解决了系统不稳定、滞后严重和参数时变等问题。     

Questioning numerical integration methods for microsphere (and microplane) constitutive equations

In the last few years, more and more complex microsphere models have been proposed to predict the mechanical response of various polymers. Similarly than for microplane models, they consist in deriving a one-dimensional force vs. stretch equation and to integrate it over the unit sphere to obtain a three-dimensional constitutive equation. In this context, the focus of authors is laid on the physics of the one-dimensional relationship, but in most of the case the influence of the integration method on the prediction is not investigated.Here we compare three numerical integration schemes: a classical Gaussian scheme, a method based on a regular geometric meshing of the sphere, and an approach based on spherical harmonics. Depending on the method, the number of integration points may vary from 4 to 983,040! Considering simple quantities, i.e. principal (large) strain invariants, it is shown that the integration method must be carefully chosen. Depending on the quantities retained to described the one-dimensional equation and the required error, the performances of the three methods are discussed. Consequences on stress–strain prediction are illustrated with a directional version of the classical Mooney–Rivlin hyperelastic model. Finally, the paper closes with some advices for the development of new microsphere constitutive equations.     

基于DSP的电子行走辅助系统的设计与实现

为帮助视障者独立行走，基于DSP设计一套电子行走辅助系统。介绍系统的功能和基本结构，详细描述各模块的硬件设计和系统软件工作流程。该系统以实时图像处理为基础，能够完全脱离 PC机实现视频图像的采集、处理和语音提示等功能，帮助视障碍者独立行走。该系统具有小巧、便携、使用方便的特点，与传统助盲设备相比提高了导盲精度，与大型电子盲道或全球定位系统相比节省了成本，实验验证了其有效性。     

载人航天器环热控一体化仿真分析

采用系统建模及仿真方法搭建了一种典型载人航天器环热控一体化系统模型，分析了系统的性能。针对3人7天载人飞行工况开展了仿真分析，结果表明，经过合理设计，该系统可将舱内温湿度、压力、氧分压等参数控制在航天医学指标要求范围内。环热控系统仿真结果较好地预测了系统工作过程，显示了主要参数的变化情况，结果合理，验证了仿真方法、系统仿真模型的正确性。通过控制流体回路外回路旁通阀门开度，可准确控制外回路控温点温度，保证舱内温湿度在合理范围之内。此外，外回路控温点的设定会对环热控系统状态带来影响，通过合理设计外回路控温点，可保证舱内温湿度满足航天医学指标要求。     

体育信息资源整合及其网络共享服务模式的构建

学校的体育教学以及科学研究都与体育资源的整合有着密切的关系，尤其对我国体育事业的发展起着一定的推动作用。科学技术的发展也推动着互联网信息平台的建设，体育事业的发展也跟随这样的信息建设而实行有效的整合与应用。本文主要结合当今互联网中体育资源信息整合的基本情况，来具体阐述体育信息资源网络构建的过程和内容。     

Deterministic and probabilistic ship pitch prediction using a multi-predictor integration model based on hybrid data preprocessing,reinforcement learning and improved QRNN

The deterministic and probabilistic prediction of ship motion is important for safe navigation and stable real-time operational control of ships at sea. However, the volatility and randomness of ship motion, the non-adaptive nature of single predictors and the poor coverage of quantile regression pose serious challenges to uncertainty prediction, making research in this field limited. In this paper, a multi-predictor integration model based on hybrid data preprocessing, reinforcement learning and improved quantile regression neural network (QRNN) is proposed to explore the deterministic and probabilistic prediction of ship pitch motion. To validate the performance of the proposed multi-predictor integrated prediction model, an experimental study is conducted with three sets of actual ship longitudinal motions during sea trials in the South China Sea. The experimental results indicate that the root mean square errors (RMSEs) of the proposed model of deterministic prediction are 0.0254°, 0.0359°, and 0.0188°, respectively. Taking series #2 as an example, the prediction interval coverage probabilities (PICPs) of the proposed model of probability predictions at 90%, 95%, and 99% confidence levels (CLs) are 0.9400, 0.9800, and 1.0000, respectively. This study signifies that the proposed model can provide trusted deterministic predictions and can effectively quantify the uncertainty of ship pitch motion, which has the potential to provide practical support for ship early warning systems.     

Biogas upgrading using ionic liquid [Bmim][PF6] followed by thermal-plasma-assisted renewable hydrogen and solid carbon production

The use of hydrogen as clean energy has attracted significant attention because conventional industrial hydrogen production processes show negative environmental impact, require intensive energy, and/or are dependent on natural gas. The main objective of this study is to develop an innovative and environment-friendly hydrogen production process utilizing biogas as an alternative to natural gas. Ionic liquid [Bmim][PF₆] shows high potential for the replacement of aqueous amine solutions for CO₂ absorption and are employed for biogas upgrading, while thermal plasma (TP), which is beneficial for converting electrical energy to chemical energy, is employed for the simultaneous production of clean “turquoise” hydrogen and solid carbon. In addition, an intercooler is used to improve CO₂ removal in the absorber. Heat and power integration are employed to enhance the performance of the upgrading process and thermal-plasma-assisted hydrogen production. All simulations were conducted using Aspen Plus V10.0 software. The simulated results show that the solid carbon production from biomethane increases compared to that in the proposed base case. The savings in both the heater used to preheat the TP reactor and the third flash drum are 100%, while the saving in power consumption in the compression section is 62.0%. Furthermore, sensitivity is investigated to determine the effect of biomethane composition on the performance of the proposed configuration.     

新型复合式内部能量集成的精馏塔的机械设计与水力学模拟

基于HIDiC的理论和Aspen 模拟的结果，建立了新型内部能量集成的精馏塔的塔节结构，对筛孔式结构的复合HIDiC塔节做了CFD模拟，探索了不同参数下的水力学性能，优化了新型复合塔节的结构。结果表明：对于筛孔式复合塔节，减小塔板孔径，降低出口堰高有利于提高传质和传热效果。利用SolidWorks软件针对温度与压力下的双重效应做了静应力分析，通过HIDiC理论，模型构建，水力学模拟相互验证，将HIDiC逐板换热的理论与实际模型完美结合。     

基于迁移学习的有机硅单体分馏过程能耗建模

有机硅单体分馏过程需分离的物质多且分离技术要求高，是有机硅单体生产过程中能耗较高的单元之一。能耗模型的建立对分馏过程的生产优化有着重要的意义。虽然分馏过程中各提纯单元的塔器设备型号、操作条件存在差异，但由于各提纯单元存在相似性，如何充分利用这些相似性进行能耗建模，从而减少建模过程中对数据量、质的要求是要解决的问题。通过引入迁移学习算法，增大源单元和目标单元数据域的相似性，实现不同数据域的知识传递，充分利用现有数据中包含的知识，建立新的能耗模型。以某有机硅企业采集的现场数据进行算法验证，结果显示，当训练样本量不足时，迁移学习可以有效提升模型性能，从而验证了该算法的有效性与实际应用价值。