先进拉挤工艺下工字梁固化温度场的二维数值模拟

碳纤维增强复合材料在固化成型过程中,其温度与固化度的变化历程具有强耦合关系,以含有非线性内热源的瞬态热传导方程为基础,利用有限容积法编写了计算程序,研究了以T300/环氧预浸料为材料的某复合材料工字形地板梁在先进拉挤工艺下的温度、固化度的变化历程。结果表明:该工字形地板梁在厚度为5.9 mm时,固化过程中的温度场和固化度场基本可以认为是均匀的,其厚度不会对固化质量产生较大影响;当该工字梁的厚度达到11 mm时,制件最高温度比模具温度高出了10.7℃,这时制件厚度已对制件的固化质量产生较大影响。     

A preliminary study on platelet aggregation in postmenopausal women consuming extra-virgin olive oil and high-oleic acid sunflower oil

The purpose of the present study was to examine the effects of two monounsaturated fatty acid-rich oils, extravirgin olive oil (EVOO) and high-oleic sunflower oil (HOSO), on platelet aggregation in 14 postmenopausal women (aged 62.9 ± 1.8 yr) with high-fat dietary habits. Both oils contained oleic acid as the major compound (≈76% of total fatty acids), but the content of palmitic and linoleic acids and many minor compounds was significantly different. These oils were used as the only culinary fats during two 28-d periods, and represented ≈62% of the total lipid intake (≈46% of total energy consumption). Other dietary components were matched. The daily energy contribution of saturated, monounsaturated, and polyunsaturated fatty acids to the total energy consumption was 11.8, 28.5, and 2.8%, respectively, during the EVOO dietary period and 10.3, 27.8, and 4.6%, respectively, with HOSO. Aggregation in platelet-rich plasma was measured after addition of ADP. Platelet aggregation (expressed as cm/5 min) was significantly lower after the EVOO diet than after HOSO (2.1 ± 1.1 and 3.0 ± 1.4, respectively; P<0.05). Although maximal aggregation time was 40.2% higher in HOSO than in EVOO, the difference was not significant. Independent of serum cholesterol level, platelet aggregation tended to be different on the EVOO diet when women were classified according to cholesterol levels: <220 mg/dL or ≥220 mg/dL. Results suggest that other compounds present in the oils aside from the fatty acids may play an important role in modulating platelet aggregation in these postmenopausal women.     

ANT1 Activation and Inhibition Patterns Support the Fatty Acid Cycling Mechanism for Proton Transport

Adenine nucleotide translocase (ANT) is a well-known mitochondrial exchanger of ATP against ADP. In contrast, few studies have shown that ANT also mediates proton transport across the inner mitochondrial membrane. The results of these studies are controversial and lead to different hypotheses about molecular transport mechanisms. We hypothesized that the H⁺-transport mediated by ANT and uncoupling proteins (UCP) has a similar regulation pattern and can be explained by the fatty acid cycling concept. The reconstitution of purified recombinant ANT1 in the planar lipid bilayers allowed us to measure the membrane current after the direct application of transmembrane potential ΔΨ, which would correspond to the mitochondrial states III and IV. Experimental results reveal that ANT1 does not contribute to a basal proton leak. Instead, it mediates H⁺ transport only in the presence of long-chain fatty acids (FA), as already known for UCPs. It depends on FA chain length and saturation, implying that FA’s transport is confined to the lipid-protein interface. Purine nucleotides with the preference for ATP and ADP inhibited H⁺ transport. Specific inhibitors of ATP/ADP transport, carboxyatractyloside or bongkrekic acid, also decreased proton transport. The H⁺ turnover number was calculated based on ANT1 concentration determined by fluorescence correlation spectroscopy and is equal to 14.6 ± 2.5 s⁻¹. Molecular dynamic simulations revealed a large positively charged area at the protein/lipid interface that might facilitate FA anion’s transport across the membrane. ANT’s dual function—ADP/ATP and H⁺ transport in the presence of FA—may be important for the regulation of mitochondrial membrane potential and thus for potential-dependent processes in mitochondria. Moreover, the expansion of proton-transport modulating drug targets to ANT1 may improve the therapy of obesity, cancer, steatosis, cardiovascular and neurodegenerative diseases.     

针对ARM SoC的Angel调试监控器实现与移植

本文阐述利用Angel目标监控程序构建一个有效而低成本的嵌入式系统调试方案，提高自主开发Garfield SoC系统方案的竞争力。首先从Angel原理入手。介绍调试系统的宿主机和Angel之间的ADP通信协议以及利用开源调试器GDB建立调试环境的方法。然后以软件断点为例剖析了Angel调试的具体实现，并且阐述将Angel移植到自主设计的SoC上的过程。此方法已成功应用于Garfield SoC平台。     

Data-based Fault Tolerant Control for Affine Nonlinear Systems Through Particle Swarm Optimized Neural Networks

In this paper, a data-based fault tolerant control (FTC) scheme is investigated for unknown continuous-time (CT) affine nonlinear systems with actuator faults. First, a neural network (NN) identifier based on particle swarm optimization (PSO) is constructed to model the unknown system dynamics. By utilizing the estimated system states, the particle swarm optimized critic neural network (PSOCNN) is employed to solve the Hamilton-Jacobi-Bellman equation (HJBE) more efficiently. Then, a data-based FTC scheme, which consists of the NN identifier and the fault compensator, is proposed to achieve actuator fault tolerance. The stability of the closed-loop system under actuator faults is guaranteed by the Lyapunov stability theorem. Finally, simulations are provided to demonstrate the effectiveness of the developed method.      

Online Learning Control for Harmonics Reduction Based on Current Controlled Voltage Source Power Inverters

Nonlinear loads in the power distribution system cause non-sinusoidal currents and voltages with harmonic components. Shunt active filters (SAF) with current controlled voltage source inverters (CCVSI) are usually used to obtain balanced and sinusoidal source currents by injecting compensation currents. However, CCVSI with traditional controllers have a limited transient and steady state performance. In this paper, we propose an adaptive dynamic programming (ADP) controller with online learning capability to improve transient response and harmonics. The proposed controller works alongside existing proportional integral (PI) controllers to efficiently track the reference currents in the d -q domain. It can generate adaptive control actions to compensate the PI controller. The proposed system was simulated under different nonlinear (three-phase full wave rectifier) load conditions. The performance of the proposed approach was compared with the traditional approach. We have also included the simulation results without connecting the traditional PI control based power inverter for reference comparison. The online learning based ADP controller not only reduced average total harmonic distortion by 18.41 %, but also outperformed traditional PI controllers during transients.      

动态规划最优控制在非线性系统中的应用

应用一种新的自适应动态最优化方法(ADP),在线实现对非线性连续系统的最优控制。首先应用汉密尔顿函数（Hamilton-Jacobi-Bellman, HJB）求解系统的最优控制,并应用神经网络BP算法对汉密尔顿函数中的性能指标进行估计,进而得到非线性连续系统的最优控制。同时引进一种新的自适应算法,基于参数误差,在线实现对系统进行动态最优求解,而且通过李亚普诺夫方法对参数收敛情况也进行详细的分析。最后,用仿真结果来验证所提出的方法的可行性。     

基于自适应动态规划的城市交通信号优化控制方法综述

针对日益受到重视的自适应动态规划(Adaptive dynamicprogramming, ADP)的方法和应用进行了概述. 详细分析了自适应动态规划的关键问题, 如收敛性、稳定性和协调性的研究现状和趋势. 介绍了城市交通信号控制问题的特点和目前采用的控制方法, 以及自适应动态规划方法在街区路口和快速路入口匝道的交通信号优化控制的应用现状和前景.     

基于深度自适应动态规划的孤岛主动配电网发电控制与优化一体化算法

随着多种分布式新能源的并网,如风电与光伏发电、生物质能发电、储能与电动汽车等,传统情况下孤岛配电网的发电控制方法已很难达到高品质频率稳定控制的要求.为解决此问题,本文提出了一种新颖的深度自适应动态规划算法.该算法将自适应动态规划算法中的神经网络替换为机器学习领域中的深度神经网络,并在其中添加深度模型预测网络.所提算法能一次性完成传统模式下"发电控制算法+指令优化分配算法"共同完成的工作.最后,为验证深度自适应动态规划算法的鲁棒性,设计了多种配电网的仿真实验,即正常情况、"即插即用"启停机情况、通讯故障情况、全天扰动仿真情况、变拓扑结构的孤岛配网情况和变参数模型的仿真,设置的总仿真时长达25年.仿真结果验证了所设计的深度自适应动态规划算法有效性、可行性与强鲁棒性.     

基于数据ADP算法的一类带有执行器饱和的未知离散时间系统最优跟踪控制

针对一类带有执行器饱和的未知动态离散时间非线性系统, 提出了一种新的最优跟踪控制方案. 该方案基于迭代自适应动态规划算法, 为了实现最优控制, 首先建立了未知系统动态的数据辨识器. 通过引入M网络, 获得了稳态控制的精确表达式. 为了消除执行器饱和的影响, 提出了一个非二次的性能指标函数. 然后提出了一种迭代自适应动态规划算法获得最优跟踪控制的解, 并给出了收敛性分析. 为了实现最优控制方案, 神经网络被用来构建数据辨识器、计算性能指标函数、近似最优控制策略和求解稳态控制. 仿真结果验证了本文所提出的最优跟踪控制方法的有效性.