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Proceedings of the 2018 International Conference on Electronics and Electrical Engineering Technology最新文献

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An Oblique Sprint Algorithm with Eight Directions for Micromouse Contests 一种八方向倾斜冲刺小白鼠竞赛算法
Chenhu Yuan, Qi Liu, Xiaoming Liu
According to IEEE micromouse standards, micromouse needs to find the shortest path in the maze that has been searched, and sprint with the fastest velocity, the shortest path and the least number of turns. To ensure the shortest path of micromouse in the maze that has been explored, it is necessary to plan the existing paths. Therefore, an Oblique sprint algorithm with eight directions is proposed in this article. The algorithm divides the maze cell into eight directions, records the running direction of the micromouse in the maze, finds out the shortest path through the contour map, makes the direction map on this path, and then integrates the direction map into the actual running action. Through this algorithm, the optimal design of sprint path and action mode is realized. By comparing with the traditional algorithm, it is demonstrated that the new algorithm solved the problems of the traditional sprint algorithm, such as long distance and many actions, reduced the number of turns, and improved the sprint efficiency of micromouse in the maze.
根据IEEE微鼠标准,微鼠需要在已经搜索过的迷宫中找到最短的路径,并以最快的速度、最短的路径和最少的圈数冲刺。为了保证微鼠在已探索的迷宫中走的路径最短,需要对已有路径进行规划。为此,本文提出了一种具有八个方向的斜向冲刺算法。该算法将迷宫单元划分为八个方向,记录微鼠在迷宫中的奔跑方向,通过等高线图找出最短路径,在此路径上做出方向图,然后将方向图整合到实际的奔跑动作中。通过该算法,实现了短跑路径和动作方式的优化设计。通过与传统算法的比较,证明新算法解决了传统冲刺算法距离长、动作多的问题,减少了回合数,提高了小老鼠在迷宫中的冲刺效率。
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引用次数: 1
Research on Fault Detection and Protection Strategy of HVDC Circuit Breaker Based on New Criterion 基于新判据的高压直流断路器故障检测与保护策略研究
Wei Li, Xueguang Wu, Bin Chang, Dong Liu
Increasing the breaking speed of the HVDC circuit breaker in the DC grid can provide an additional necessary time for other control strategies of the VSC-HVDC system during fault conditions. This paper presents a new fault local detection and power line protection control strategy for HVDC breakers based on Zhangbei four-terminal flexible HVDC transmission project. This method determines if the line has faults by monitoring the rate of change of voltage (ROCOV) at both ends of the DC line. And this method can realize fault local judgment and improve the speed of protection operation. In addition, the method of distinguishing the faults of adjacent lines, busbars and local lines is specifically proposed, and the accuracy of the proposed method and the selectivity, reliability and speed of protection actions are verified by PSCAD under different working conditions. For a flexible HVDC system which needs to quickly clear the fault, this method provides a new research idea for rapid self-breaking control strategy of DC circuit breaker.
提高直流电网中高压直流断路器的分断速度,可以在故障情况下为直流-高压直流系统的其他控制策略提供额外的必要时间。本文以张北四端柔性直流输电工程为例,提出了一种新的高压直流断路器故障局部检测和电力线保护控制策略。该方法通过监测直流线路两端的电压变化率(ROCOV)来判断线路是否存在故障。该方法可以实现故障的局部判断,提高保护动作的速度。此外,具体提出了相邻线路、母线和局部线路故障的识别方法,并通过PSCAD在不同工况下验证了所提方法的准确性和保护动作的选择性、可靠性和速度。对于需要快速清除故障的柔性高压直流系统,该方法为直流断路器快速自开控制策略提供了新的研究思路。
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引用次数: 1
Least Squares Design of 2-D FIR Notch Filters Based on the Hopfield Neural Networks 基于Hopfield神经网络的二维FIR陷波滤波器的最小二乘设计
W. Xu, Ruihua Zhang, Anyu Li, Boya Shi, Shuxia Yan
This paper presents a design paradigm for the 2-D (two-dimensional) FIR (finite impulse response) notch filter using Hopfield neural network. A Hopfield neural network is chosen and the relationship between the least squares error criterion and the Lyapunov energy function is established. The design problem is transformed into the problem of finding the minimum value of the Lyapunov energy function. When the minimum value of the Lyapunov energy function is obtained, the outputs of the Hopfield neural network are the coefficients of the 2-D FIR notch filter. The complexity of computation can be reduced by using the Hopfield neural network. The simulation results demonstrate the effectiveness of the proposed algorithm.
本文提出了一种利用Hopfield神经网络设计二维有限脉冲响应陷波滤波器的范例。选择Hopfield神经网络,建立最小二乘误差准则与Lyapunov能量函数之间的关系。将设计问题转化为寻找李雅普诺夫能量函数最小值的问题。当Lyapunov能量函数的最小值得到时,Hopfield神经网络的输出为二维FIR陷波滤波器的系数。利用Hopfield神经网络可以降低计算复杂度。仿真结果验证了该算法的有效性。
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引用次数: 1
On the Robustness of Covariance Matrix Shrinkage-Based Robust Adaptive Beamforming 基于协方差矩阵收缩的鲁棒自适应波束形成鲁棒性研究
Zhitao Xiao, Jiahao Wang, Lei Geng, Fang Zhang, Jun Tong
Beamforming has been widely studied in wireless communications, radar, sonar, and other array systems. Digital beamforming is usually designed based on the array response and the estimation of the covariance matrix of the received signal. Various model mismatch issues can arise due to unequal antenna gains, phase errors, direction-or-arrival (DOA) mismatch and imperfect estimation of the covariance matrix. Different methods based on the shrinkage estimation of the covariance matrix and interference-plus-noise covariance matrix reconstruction have been proposed to address the challenges. In this paper, we investigate the robustness of several approaches in the presence of model uncertainties. We demonstrate the pros and cons of those approaches under different scenarios, based on which recommendation on the choice of the proper method may be made.
波束形成在无线通信、雷达、声纳和其他阵列系统中得到了广泛的研究。数字波束形成通常是根据阵列响应和接收信号协方差矩阵的估计来设计的。由于天线增益不等、相位误差、方向或到达(DOA)不匹配以及协方差矩阵估计不完善,可能会出现各种模型不匹配问题。为了解决这一问题,人们提出了基于协方差矩阵收缩估计和干涉加噪声协方差矩阵重构的方法。在本文中,我们研究了几种方法在模型不确定性存在下的鲁棒性。我们将在不同的场景下演示这些方法的优缺点,并在此基础上提出选择适当方法的建议。
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引用次数: 2
Design of Sparse Cosine-Modulated Filter Banks Using BP Neural Network 基于BP神经网络的稀疏余弦调制滤波器组设计
W. Xu, Yi Li, Jinghong Miao, Jiaxiang Zhao
This paper presents a design paradigm for sparse nearly perfect reconstruction cosine-modulated filter banks using BP neural network. Sparse FIR filter banks have lower implementation complexity than full filter banks with keeping a good performance level. First, a series of frequency response data satisfying perfect reconstruction condition are being selected. Second, the desired sparse linear phase FIR prototype filter is derived through the orthogonal matching pursuit performed under the weighted l2 norm, and the training function and hidden layer nodes in BP neural network. The simulation results fully testified the proposed scheme for the design sparse NPR cosine-modulated filter banks is reviewed.
本文提出了一种基于BP神经网络的稀疏近完美重构余弦调制滤波器组的设计范例。稀疏FIR滤波器组比全滤波器组具有更低的实现复杂度,并能保持良好的性能水平。首先,选取一系列满足完全重构条件的频响数据。其次,通过加权l2范数下的正交匹配追踪,结合BP神经网络的训练函数和隐层节点,推导出期望的稀疏线性相位FIR原型滤波器;仿真结果充分证明了所提出的稀疏NPR余弦调制滤波器组设计方案。
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引用次数: 0
Power Quality Comprehensive Evaluation of DC Distribution Network Based on Maximizing Deviation and Fuzzy Matter-Element Model 基于偏差最大化和模糊物元模型的直流配电网电能质量综合评价
Haixia Lv, Lijun Tian, Zhiguo Wang
At present, DC supply technology has become a research hotspot again. And the wide application of all-controlling power electronics devices also makes DC distribution system usher in a new opportunity for development. Through the analysis of the possible power quality problems existing in DC power distribution network, a set of comprehensive evaluating method for DC power quality is proposed in this paper. To avoid the excessive subjectivity or objectivity of weight coefficients, the combination weighting method based on maximizing deviation is adopted to allocate the subjective and objective weight proportion fairly, thus making the decision of comprehensive weights more accurate. Fuzzy matter-element model is built to evaluate power quality of DC distribution network in order to solve the problems in DC power quality evaluation process, such as fuzziness and uncertainty. Finally, numerical examples show that the proposed comprehensive evaluation model can be used to evaluate DC power quality with feasible and practicability results.
目前,直流电源技术再次成为研究热点。而全控制电力电子器件的广泛应用也使直流配电系统迎来了新的发展机遇。本文通过对直流配电网中可能存在的电能质量问题的分析,提出了一套直流电能质量的综合评价方法。为避免权重系数过于主观或客观,采用基于偏差最大化的组合赋权法,公平分配主客观权重比例,使综合权重的决策更加准确。为了解决直流电网供电质量评价过程中存在的模糊性和不确定性问题,建立了直流电网供电质量评价的模糊物元模型。最后,数值算例表明,所提出的综合评价模型可用于直流电能质量评价,具有可行性和实用性。
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引用次数: 2
Design of Microbial Power Generation and Energy Storage System 微生物发电储能系统的设计
Yang Yang, Lei Wang, Yuanqi Wang, Yihong Li, Hao Song
Microbial power generation is the use of microbial energy to generate electricity. This paper is mainly designed to study the microbial power generation system in the energy storage system. Microbial power generation voltage is only 0.6v and this voltage is very small, The electricity from the microbes is first charged by a group of parallel super capacitors. Then the super capacitor is transformed into a series state, and then through the DC-DC boost circuit to store electricity. This can store electricity exponentially and Long time power supply for load. This process, the switching of the series and parallel state of the super capacitor is controlled by a single cylinder which is connected with the circuit. The whole system can raise the voltage of microbes from 0.6V to 15V.In addition, the energy storage scheme discussed in this paper has practical guiding significance, and can guide the production of the corresponding objects.
微生物发电就是利用微生物的能量来发电。本文主要是对储能系统中的微生物发电系统进行研究。微生物发电的电压只有0.6v,而且这个电压非常小,来自微生物的电首先由一组并联的超级电容器充电。然后将超级电容转换成串联状态,再通过DC-DC升压电路进行储电。可成倍存储电能,长时间为负载供电。在此过程中,超级电容器的串并联状态的切换由与电路相连的单缸控制。整个系统可以将微生物的电压从0.6V提高到15V。此外,本文讨论的储能方案具有实际指导意义,可以指导相应对象的生产。
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引用次数: 0
Efficient Transmission Scheme for Distributed Signal Detection with Noisy Communication Links 具有噪声通信链路的分布式信号检测的高效传输方案
Xiangyang Liu, Yu Cong, Jian Yang
We consider the problem of distributed signal detection in a wireless radar sensor network with sensors having non-ideal communication links to the fusion center. Other than the research of the optimum detection scheme, we focus on the efficient transmission of given sensor decisions at the cost of slightly lowering the detection probability at the fusion center. To do so, we introduced two quantities, i.e., detection probability loss coefficientand communication gain coefficient. By studying their curve, an efficient transmission scheme can be found with detection probability loss less than a prescribed small value. A procedure was given, and the simulation results illustrated the effectiveness of the proposed method.
研究了无线雷达传感器网络中与融合中心通信链路不理想的传感器的分布式信号检测问题。除了研究最优检测方案外,我们还关注给定传感器决策的有效传输,其代价是略微降低融合中心的检测概率。为此,我们引入了两个量,即检测概率损失系数和通信增益系数。通过研究它们的曲线,可以找到一种检测概率损失小于规定小值的有效传输方案。仿真结果表明了该方法的有效性。
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引用次数: 2
Analysis and Simulation of Antenna Mast Fast Motion in Spaceborne Dual-Antenna InSAR System 星载双天线InSAR系统天馈桅杆快速运动分析与仿真
Shun Li, Anxi Yu, Zaoyu Sun, Xiaoxiang Zhu
Spaceborne dual-antenna uses satellite as platform, and the satellite center extends two antennas to both sides at the same time. The first antenna transmitting and receiving antenna while the second antenna is installed the other end. The antenna arm is used to form an interferometric baseline. Synthetic aperture radar (SAR) interferometry is achieved by using antennas at both ends of antenna arm transmitting and receiving signals. Comparing with SRTM system [1], [2], which extends a 60-meter antenna arm to form an interference baseline for interferometry, the new system will have better performance. But during the flight, the attitude adjustment of the engine will cause the antenna mast motion, which will affect the SAR imaging and interferometry. The relatively regular slow motion can be compensated, but the fast motion is difficult to measure because of randomness. So we should analysis the effect of fast antenna mast motion in this system. In this paper, the amplitude and frequency threshold model of the antenna fast mast motion in dual-antenna SAR system is proposed by theoretical derivation. At the same time, the accuracy of the theoretical analysis is verified by the simulation experiment of the whole process, which provides theoretical support for design of dual-antenna system.
星载双天线以卫星为平台,卫星中心同时向两侧延伸两根天线。第一天线发射和接收天线,而第二天线安装在另一端。天线臂用于形成干涉基线。合成孔径雷达(SAR)干涉测量是利用天线臂两端的天线收发信号来实现的。与SRTM系统[1],[2]相比,新系统将具有更好的性能,SRTM系统通过延长60米的天线臂形成干涉基线进行干涉测量。但在飞行过程中,发动机的姿态调整会引起天馈杆运动,影响SAR成像和干涉测量。相对规则的慢运动可以补偿,但快速运动由于随机性而难以测量。因此,需要分析天线杆快速运动对该系统的影响。通过理论推导,提出了双天线SAR系统中天线快速桅杆运动的幅频阈值模型。同时,通过整个过程的仿真实验验证了理论分析的准确性,为双天线系统的设计提供了理论支持。
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引用次数: 0
Based on Improved Bio-Inspired Model for Path Planning by Multi-AUV 基于改进仿生模型的多水下机器人路径规划
Lianhui Wu, Yiping Li, Jian Liu
Aiming at path planning and collision avoidance of multiple autonomous underwater vehicle (AUV) system under complex environment, an improved neural network algorithm based on biological inspired model is proposed. Firstly, establishing an improved bio-inspired neural network model, the two-dimensional working area is rasterized, and each grid and neuron are one-to-one correspondence, stipulating that the interest area and the obstacle area of the grid correspond to the excitatory and inhibition of neurons respectively, affecting the neurons activity in the whole working area by the transversal function of the adjacent neurons each other. Secondly, AUV plans a safe and collision-free path by comparing the size of the activity of neighbor neurons. Then, Aiming at the problem that AUV moves clinging to the edge of obstacles, adding lateral inhibitory effects of the obstacles on the neural network and greatly improving the safety and rationality of the path planning. Finally, changing the property of grid positions of each AUV in real time to realize collision avoidance between multi-AUV. Simulation experiments prove that the improved algorithm is valid about the path planning in this thesis and the large allowance collision avoidance problem in a complex environment with single-AUV and multi-AUV.
针对复杂环境下多自主水下航行器(AUV)系统的路径规划和避碰问题,提出了一种基于生物启发模型的改进神经网络算法。首先,建立改进的仿生神经网络模型,对二维工作区域进行栅格化处理,每个网格和神经元一一对应,规定网格的兴趣区域和障碍区域分别对应神经元的兴奋和抑制,通过相邻神经元的横向作用影响整个工作区域的神经元活动。其次,AUV通过比较相邻神经元的活动大小来规划一条安全无碰撞的路径。然后,针对AUV依附障碍物边缘移动的问题,在神经网络中加入障碍物的横向抑制效应,大大提高了路径规划的安全性和合理性。最后,实时改变每个水下机器人的网格位置属性,实现多水下机器人之间的避碰。仿真实验证明,本文提出的改进算法对于解决单auv和多auv复杂环境下的路径规划和大余量避撞问题是有效的。
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引用次数: 8
期刊
Proceedings of the 2018 International Conference on Electronics and Electrical Engineering Technology
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