路面激扰与电磁激扰下电动轮车辆系统非线性全局动态特性研究

为研究电动轮车辆系统在路面 电磁联合激励下的非线性振动特性,并挖掘参数与初始条件协同作用下系统全局动力学信息,建立了计及悬架系统和轮胎的非线性弹簧力和阻尼力的电动轮车辆系统两自由度1/4垂向振动非光滑非线性时变动力学模型,考虑外部激励的谐波性和随机性以及电磁激励的分段周期性,得到了含谐波性、随机性和周期性的复杂外激励模型,分析了驱动电机转速与多初值的关联性对系统动力学共存行为及其分岔的影响规律,研究了共存运动的多样性及其吸引域的拓扑构型,揭示了转速对系统全局动力学稳定性的影响机理.结果表明：电机转速与多初值协同作用诱发系统出现多样性的共存运动,共存运动吸引域的拓扑结构复杂多样,部分共存运动的振动幅值可能较大亦可能很小,其全局动力学稳定性差异较大.电机转速与初值的协同作用对电动轮车辆系统非线性振动和全局动态特性的影响不予忽视.本文研究对电动轮车辆系统的动态性能改善和结构优化具有重要的理论意义和工程价值.     

智能路灯控制系统缺失数据流关联修复仿真

为了避免智能路灯控制系统受缺失数据影响,研究了智能路灯控制系统缺失数据流关联修复仿真方法。选取嵌套窗口的流数据处理模型检测智能路灯控制系统的缺失数据流,嵌套窗口的流数据处理模型将滑动窗口分割为多个嵌套滑动窗口,滑动窗口过程中,利用Pearson相关系数确定智能路灯控制系统中相邻数据的相关性,依据获取的数据相关性重构相关图,利用相关图检测智能路灯控制系统缺失数据流。选取GMM算法划分存在缺失数据的智能路灯控制系统的数据集,选取EM插补算法关联修复完成初始数据集划分后的数据流。仿真测试结果表明,该方法可以有效修复智能路灯控制系统缺失数据流,不同数据缺失率情况下,均具有较高的缺失数据流关联修复精度。     

交叉口混合交通流微观控制模型

为构建智能网联汽车(CAV)和有人驾驶汽车(HDV)混合通行情况下的交叉口通行机制与控制方法, 本文提出CAV专用道条件下交叉口协同通行模型. 首先, 设计CAV专用道条件下的交叉口布置, 对交叉口进行网格化处理,将CAV通行时隙和HDV绿灯相位对交叉口某部分网格某时段的占用统一到交叉口时空资源描述框架下; 其次, 建立兼顾CAV与HDV的交叉口时空网格资源分配模型, 构建自适应信号灯控制算法和CAV轨迹规划算法; 再次, 以车辆最小延误为目标进行自适应信号灯配时优化和CAV轨迹优化; 最后, 选取广州某典型交叉口建立仿真实验对所提方法的有效性进行了验证.     

基于光流的视频缺陷检测及修复方法

为了修复视频中的划痕和斑点,提出一种基于光流的视频缺陷检测及修复方法。首先,根据光流场得到相邻帧对应像素之间的位置关系,利用对应点灰度差确定像素点所在位置是否为缺陷。其次,修正缺陷区域的光流,以修正光流指向的相邻帧修补点填补对应的缺陷点。最后,针对已修复的视频帧重新计算光流场并重复修复步骤,直到该帧满足迭代修复的收敛条件。针对DAVIS视频数据集的不同场景,模拟产生数量为单帧像素点总数1%左右的缺陷后进行检测修复实验,给出查全率与误识别率的关系曲线,其中,误识别率为0.1%时,查全率可达80%以上;修复后的SSIM大于0.991,LPIPS小于0.037。针对老旧视频的修复实验表明,算法能够有效去除细小划痕和大小斑块。     

Harmonic control of a dual-valve hydraulic servo system with dynamically allocated flows

Modern industries face increasing demands to improve the precision and workability of equipment, leading to stringent requirements for hydraulic servo systems in terms of flow, accuracy, and output power. High-flow servo valves and multi-valve synchronous control methods have seen more applications in the industry to meet these demands. However, high-flow servo valves are expensive and have unsatisfactory performance, and synchronous control methods require servo valves to have the same hydraulic characteristics, resulting in higher cost and lower accuracy of high-flow hydraulic servo systems. Also, very little has been conducted on controlling single actuators using multiple valves. In this study, we design a novel dual-valve hydraulic servo system structure with a high-flow proportional directional valve that is connected in parallel with a low-flow servo valve and further develop the mathematical model of this dual-valve system. Next, a harmonic control scheme was proposed, which included a flow allocation layer and trajectory tracking layer. Thereby, we achieved optimal control of two valves, and robust performance was guaranteed. Finally, we investigate the relationships between the flows of two valves, the deadband of the proportional directional valve, and trajectory tracking errors. Experimental results show that the proposed control scheme can effectively adjust the output flow of each valve dynamically according to the tracking trajectory and the hydraulic characteristics of the two valves, and the tracking performance of the servo system is significantly improved. This method is promised to enable the realization of an economical, high-flow, high-precision hydraulic servo system that can be generally used in various fields, such as marine engineering and construction.     

侧边机组故障对泵站前池流态的影响

为研究侧边机组故障对泵站前池流态的影响,本文建立了某泵站引渠、前池、进水池与吸入管三维数值模型,并基于VOF模型开展了数值计算。然后,根据计算结果分析了不同侧边机组故障情况对前池和引渠内流态的影响。最后,引入了流速分布均匀度作为量化指标,阐述了不同侧边机组故障情况对中间机组的吸入管进口流速分布的影响规律。结果表明:侧边单台机组故障时,前池内部流速分布相对无故障变化较小,但故障机组吸水池内产生大尺度漩涡,进而导致前池出口断面流速畸变,发生流速掺混现象;侧边机组全部故障时,前池内部产生大尺度涡系,造成前池出口断面流速严重掺混现象,且范围更大,并显著影响中间机组吸入管进口流态,造成进口流速不均匀分布,进而对中间机组运行产生不利影响。     

电网能量流-经济流耦合分析

依托于同一电力网络的电气源流间的能流信息和市场主体间的交易信息,存在某种天然耦合关系。若不能正确处理,则易导致相关经济流分布信息掌握失准,从而影响系统运行的效能和市场运作的公正性。为此,基于电力网络电能追踪方法正确提供的实时能流信息,考虑上述耦合特性,分析了沿网络源-流对电能配送路径链分布的经济流信息,建立了核算各项费用的实时电价关系式;针对链首和链末2种能量计费方式,提出了具有广泛指导性的费用核算一致性原理,并指出：若不考虑电网实时运行状态影响而直接以上网价、过网价和政府性基金价之和作为下网电价核算相关费用,则会出现不完全满足一致性原理的现象。最后,针对典型交易模式及与其关联的多个网络源-流对,给出了量化其经济流分布的关系式。算例表明,基于考虑耦合特性的实时电价信号分析的经济流,符合核算一致性原理,可为进一步揭示交叉补贴内因提供理论依据。     

Optimal design of a tunable electromagnetic shunt damper for dynamic vibration absorber

Dynamic vibration absorber (DVA) is an effective device for suppressing resonant vibration of noisy machineries and structures. However, the optimum design of DVA requires precise tuning of the damping force in the DVA, which unfortunately is often not practical and prone to changes of working conditions. In this paper, a tunable electromagnetic shunt damper (EMSD) with different opposing magnet pairs configurations is tested for the optimum design of DVA. The optimum magnet pairs configuration is derived to provide the maximum damping force in the DVA. Both simulations and experiments are conducted to verify the damping coefficient variation with the number of magnet pairs in the EMSD. The experimental optimization procedure of the DVA is designed according to the fixed-points theory. The damping force generated by the EMSD can be readily adjusted by varying the external resistance of the EMSD. This is the first experimental implementation report of the optimization procedure described in the fixed-points theory. The proposed tunable EMSD can conveniently allow for onsite optimal tuning of DVA. The proposed design methodology provides fine tuning of the damping coefficient of EMSD to achieve robust optimal DVA performance, even when subject to changes of external parasitic damping.     

Power system transient stability assessment based on the multiple paralleled convolutional neural network and gated recurrent unit

In order to accurately evaluate power system stability in a timely manner after faults, and further improve the feature extraction ability of the model, this paper presents an improved transient stability assessment (TSA) method of CNN?+?GRU. This comprises a convolutional neural network (CNN) and gated recurrent unit (GRU). CNN has the feature extraction capability for a micro short-term time sequence, while GRU can extract characteristics contained in a macro long-term time sequence. The two are integrated to comprehensively extract the high-order features that are contained in a transient process. To overcome the difficulty of sample misclassification, a multiple parallel (MP) CNN?+?GRU, with multiple CNN?+?GRU connected in parallel, is created. Additionally, an improved focal loss (FL) function which can implement self-adaptive adjustment according to the neural network training is introduced to guide model training. Finally, the proposed methods are verified on the IEEE 39 and 145-bus systems. The simulation results indicate that the proposed methods have better TSA performance than other existing methods.     

基于多参量分布式光纤传感的架空输电线路风振监测分析

输电线路风振可能造成线路闪络、断股和金具疲劳损坏等故障,严重影响电力系统的安全稳定运行,准确和实时地监测线路的风振情况对灾害预警、故障排除和状态评估意义重大。为了解决传统风振监测手段维护困难、可靠性低等缺点,提出了一种基于多参量分布式光纤传感的输电线路风振监测装置。首先介绍了分布式光纤传感的基本原理和设备基本结构,然后利用数值仿真的方法分析了舞动和微风振动时线路的振动频率、幅值特征,论证了利用分布式光纤监测风振的可行性。实验证明,该装置能同时监测输电线路沿线各段的风振及线路内部应力变化情况,其60 km内的定位精度为±50 m,舞动及微风振动频率监测误差分别为0.07 Hz和0.01 Hz。该装置为架空输电线路的风振在线监测提供了新方法。