遗传算法模糊PID测控系统在环控试验台中的应用

飞机环控试验台须模拟流量0～14000kg/h、压力0～2.5MPa和常温～500℃的空气环境;项目要求测控范围广、精度±1%且不超调;空气状态具有非线性、时变等特点,且控制参数之间存在复杂耦合;针对以上难点,设计了分布式测控系统,提出了改进的智能PID控制方案;通过遗传算法分段整定PID参数,离线建立PID数据库,使系统能够根据控制目标值选择最优PID初值;在此基础上,结合模糊推理在线调整PID参数,使系统具有了自适应性,能在具体工况和干扰下达到很好的控制效果;实际应用中完全满足了指标要求,解决了传统PID的控制难点,对类似的复杂系统有一定借鉴意义。     

Towards practical anisotropic adaptive FEM on triangular meshes: a new refinement paradigm

Adaptive anisotropic refinement of finite element meshes allows one to reduce the computational effort required to achieve a specified accuracy of the solution of a PDE problem. We present a new approach to adaptive refinement and demonstrate that this allows one to construct algorithms which generate very flexible and efficient anisotropically refined meshes, even improving the convergence order compared to adaptive isotropic refinement if the problem permits.     

基于单片机的家庭报警系统设计

本文设计了一种基于AT89C2051芯片为CPU的家用报警系统,以烟雾探测器、门磁报警器、燃气体探测器等传感器为节点,当收集到异常信息后,由无线网络节点送至报警主机,通过主机报告给预留电话,从而完成了家庭报警系统的硬件组成、软件设计、数据采集与通信策略以及主程序设计,实现对家庭的非法入侵、火灾、燃气泄漏等事故的报警保护。     

65Mn钢CCT曲线及圆锯片淬火工艺

用全自动相变测定仪测定了圆锯片常用６５Ｍｎ钢的连续冷却转为曲线，研究了不同连续冷却速度下得到的组织，为合理制订圆锯片的淬火工艺提供了依据，得到了最佳淬火工艺曲线。     

《单片机原理及应用》课程思政的实践探索——以“单片机的存储器结构”知识点讲解为例

针对《单片机原理及应用》及其相关课程在课程思政建设中存在的问题,提出一种课程思政设计思路,即选取合适的授课内容与思政素材,从教学目标和教学设计出发,将思政素材自然融入到授课内容中。并以“单片机的存储器结构”知识点讲解为例,详细介绍了以上课程思政设计思路的具体设计与实施过程,具有较强的创新性与可操作性,对单片机类课程线上及线下教学的课程思政建设有一定的借鉴意义。     

铈对中铝耐热铸铁抗氧化性能的影响

采用氧化增重法测定了含Ce中铝耐热铸铁在850℃时氧化动力学曲线，用SEM，X－ray对氧化膜表面的形貌，结构及氧化层－基体界面进行了观察分析，结果表明：Ce改变了中铝耐热铸铁氧化膜的结构和组成，提高了中铝耐热铸铁的抗氧化性能。     

均苯四甲酸铕发光配合物的合成与表征

在乙醇和水的混合溶剂中合成了均苯四甲酸(H4L)铕发光配合物。通过元素、化学分析、红外光谱确定其化学组成为Eu4/3L·7H2O。热分析表明,配合物在530℃以下稳定性较好,X射线衍射结果表明,配合物为晶体物质,扫描电镜照片表明配合物为块状物质,晶粒10μm-20μm,荧光光谱分析表明配合物在紫外光的激发下发出铕的特征荧光。     

Red Emissive Carbon Dots Prepared from Polymers as an Efficient Nanocarrier for Coptisine Delivery in vivo and in vitro

Negatively charged fluorescent carbon dots (CDs, E_m=608 nm) were hydrothermally prepared from thiophene phenylpropionic acid polymers and then successfully loaded with the positively charged anticancer cargo coptisine, which suffers from poor bioavailability. The formed CD-coptisine complexes were thoroughly characterized by particle size, morphology, drug loading efficiency, drug release, cellular uptake and cellular toxicity in vitro and antitumor activities in vivo. In this nano-carrier system, red emissive CDs possess multiple advantages as follows: 1) high drug loading efficiency (>96 %); 2) sustained drug release; 3) enhanced drug efficacy towards cancer cells; 4) EPR effect; 5) drug release tracing with near-infrared imaging. These properties indicated that red emissive CDs prepared from polymers could be used as a novel drug delivery system with integrated therapeutic and imaging functions in cancer therapy, which are expected to have great potential in future clinical applications.     

Photocatalytic syngas synthesis from CO2 and H2O using ultrafine CeO2-decorated layered double hydroxide nanosheets under visible-light up to 600 nm

The rational design of photocatalyst that can effectively reduce CO₂ under visible light(l>400 nm),and simultaneously precise control of the products syngas(CO/H2)ratio is highly desirable for the Fischer-Tropsch reaction.In this work,we synthesized a series of CeO₂-decorated layered double hydroxides(LDHs,Ce-x)samples for photocatalytic CO₂ reduction.It was found that the selectivity and productivity of CO and H₂ from photoreduction of CO₂ in conjunction with Ru-complex as photosensitizer performed an obvious“volcano-like”trend,with the highest point at Ce-0.15 and the CO/H₂ ratio can be widely tunable from 1/7.7 to 1/1.3.Furthermore,compared with LDH,Ce-0.15 also drove photocatalytic CO₂ to syngas under 600 nm irradiation.It implied that an optimum amount of CeO₂ modifying LDH promoted the photoreduction of CO₂ to syngas.This report gives the way to fully utilize the rare earth elements and provides a promising route to enhance the photo-response ability and charge injection efficiency of LDH-based photocatalysts in the synthesis of syngas with a tunable ratio under visible light irradiation.     

面向电力系统潮流仿真的语音交互研究

以深度学习为代表的人工智能技术不断发展,正逐步渗透并融入电力系统等传统领域.为增强潮流仿真中人机交互的智能化程度,减少仿真技术人员在输入数据、计算分析等过程中的重复劳动,本文从语音识别理论和工程应用相结合的角度开展研究,提出了一种在潮流仿真中嵌入语音识别技术的方法.首先,对现有潮流仿真软件融入语音识别技术的可行性进行了探讨;其次,利用基于开源的电力系统分析工具Pandapower,设计了潮流仿真的语音识别流程,提出了相应的实现方法;最后,在建立的语音识别系统上,对1个仿真算例进行了测试.测试结果表明,本文提出在潮流仿真中嵌入语音识别技术的方法,能有效地实现潮流数据的语音编辑以及潮流计算的语音控制等功能.