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2019 8th International Symposium on Next Generation Electronics (ISNE)最新文献

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Control Method applicable to Small Distributed Aerodynamic Brake Device 适用于小型分布式气动制动装置的控制方法
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896655
Chun Tian, Jun Qian, Yuanzhuo Feng
The structure and principle of the small distributed aerodynamic brake device are expounded. The function of the aerodynamic brake device is analyzed. The control strategy is put forward for the small distributed aerodynamic brake device, which is used to realize opening and closing, angle adjustment and locking of the wind plates, when motor of the aerodynamic brake device can be well controlled. The software of this control strategy is realized based on LabVIEW. The test shows that the control strategy can realize the established function of the aerodynamic brake device, and it can be the control strategy of the prototype of the aerodynamic brake device.
阐述了小型分布式气动制动装置的结构和工作原理。分析了气动制动装置的作用。提出了小型分布式气动制动装置的控制策略,在气动制动装置电机控制良好的情况下,实现风片的启闭、角度调节和锁紧。该控制策略的软件是基于LabVIEW实现的。试验表明,该控制策略能够实现气动制动装置的既定功能,可以作为气动制动装置样机的控制策略。
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引用次数: 2
ISNE 2019 Author Index ISNE 2019作者索引
Pub Date : 2019-10-01 DOI: 10.1109/isne.2019.8896404
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引用次数: 0
Analysis and Compensation of Color Chromatic Aberration 色差的分析与补偿
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896615
P. Sun, Q. Xue, Bang Liu
The refractive index of a lens varies for different wavelengths of light, which causes chromatic aberration. Although most camera lens are achromatic, but the residual chromatic aberration still decrease the image’s quality and the measurement accuracy seriously. In this paper, the camera lens chromatic aberration models for commercial camera lens are analyzed by experiments, and the optimized model is determined. According to the model, method for compensating chromatic aberration is given in this paper. The experiments have shown that the proposed method can eliminate the influence of chromatic aberration effectively.
透镜的折射率对不同波长的光是不同的,这就造成了色差。虽然大多数相机镜头都是消色差,但残余色差仍然严重影响图像质量和测量精度。本文通过实验分析了商用相机镜头的色差模型,确定了最优模型。根据该模型,给出了补偿色差的方法。实验表明,该方法能有效地消除色差的影响。
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引用次数: 0
Design of Circular Polarization Log-Periodic Antenna 圆极化对数周期天线的设计
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896652
Mingshan Yang, C. Tian, Fei Xie
In order to enhance the receiving and transmitting characteristics and anti-interference the ability of the antenna. It has a great significance to study the circular polarization characteristics of the log-periodic antenna. The linear polarization log-periodic antenna is designed by using the control variable method to change the antenna scale factor and the shortest vibrator length. Circular polarization is realized by using the combination of two pairs of similar linear polarization log-periodic antenna. The optimal result parameters are obtained by simulation, and the circular polarization log-periodic antenna working in L-band with VSWR $lt2.5$ is designed and implemented.
为了提高天线的收发特性和抗干扰能力。研究对数周期天线的圆极化特性具有重要意义。采用控制变量法改变天线比例因子和最短振子长度,设计了线性极化对数周期天线。圆极化是利用两对相似线性极化对数周期天线的组合实现的。通过仿真得到了最优结果参数,设计并实现了工作在l波段、VSWR为lt2.5的圆极化对数周期天线。
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引用次数: 0
A Novel RC-Triggered Bidirectional ESD Protection Circuit in SOI Technology SOI技术中一种新型rc触发双向ESD保护电路
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896534
Yan Wang, Zhiwei Liu, Jizhi Liu
In this paper, a novel RC-triggered bidirectional ESD protection circuit in SOI technology is proposed and demonstrated. In the proposed circuit, the improved bridge rectifier circuit is formed by diode rectifier circuit paralleling MOSFET rectifier circuit. The circuit can convert the input voltage in I/O pin ranging between negative and positive values into a single polarity input voltage to the RC-triggered circuit. From the simulation results, the novel circuit can provide efficient bidirectional ESD protection for the I/O pin.
本文提出并演示了一种新型的基于SOI技术的rc触发双向ESD保护电路。在所提出的电路中,由二极管整流电路并联MOSFET整流电路构成改进的桥式整流电路。该电路可以将I/O引脚的输入电压转换为rc触发电路的单极性输入电压。仿真结果表明,该电路能够有效地对I/O引脚进行双向ESD保护。
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引用次数: 1
ISNE 2019 Copyright Page ISNE 2019版权页面
Pub Date : 2019-10-01 DOI: 10.1109/isne.2019.8896512
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引用次数: 0
Sensorless Model Reference Adaptive Control of Permanent Magnet Synchronous Motor for Industrial Robots 工业机器人永磁同步电机无传感器模型参考自适应控制
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896566
Xiaoliang Wu, Bin Zhang
In order to improve the speed and position control accuracy of permanent magnet synchronous motors for industrial robots, and to improve its performance. Firstly, the mathematical model of permanent magnet synchronous motor is given, and the model reference adaptive algorithm is introduced. Based on this algorithm, a sensorless control system for permanent magnet synchronous motor based on model reference adaptive is designed. It essentially does not use a speed or position sensing sensor to estimate the motor speed and position by detecting the stator voltage or stator current of the motor. By using MATLAB to simulate the whole system, the simulation curve shows that the proposed permanent magnet synchronous motor model reference adaptive sensorless control method has good adaptability and robustness to the rotational speed and rotor position change. It can realize high-performance sensorless control of permanent magnet synchronous motor. The control method can significantly improve the speed and position control accuracy of the permanent magnet synchronous motor for industrial robots, and is of great significance for improving industrial production efficiency.
为了提高工业机器人用永磁同步电机的速度和位置控制精度,提高其性能。首先,给出了永磁同步电机的数学模型,并介绍了模型参考自适应算法。基于该算法,设计了一种基于模型参考自适应的永磁同步电机无传感器控制系统。它本质上不使用速度或位置传感传感器,通过检测电机的定子电压或定子电流来估计电机的速度和位置。利用MATLAB对整个系统进行仿真,仿真曲线表明所提出的永磁同步电机模型参考自适应无传感器控制方法对转速和转子位置变化具有良好的适应性和鲁棒性。它可以实现永磁同步电机的高性能无传感器控制。该控制方法可显著提高工业机器人永磁同步电机的速度和位置控制精度,对提高工业生产效率具有重要意义。
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引用次数: 5
Photovoltaic power MPPT controller based on fuzzy-backstepping method 基于模糊反演法的光伏发电MPPT控制器
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896680
Junrui Wang, Chuang Wang, Sining Jia, Shang Xiang, Xiang Shan
For photovoltaic power generation systems, the traditional maximum power point tracking (MPPT) control algorithm has the disadvantages of poor stability and inability to accurately track the maximum power. Therefore, this paper proposes a kind of nonlinear control-backstepping method based on Lyapunov function and fuzzy control to achieve MPPT. This method designs a backstepping controller for the system, and using fuzzy control to obtain the reference voltage of the photovoltaic in the backstepping controller. The topology circuit of the system consists of a photovoltaic panel, a boost circuit, and a load. It’s shown by simulation experiments that the control strategy can effectively reduce the oscillation problem of the photovoltaic power system at the maximum power, alleviate the impact on electronic components in the circuit, and the robustness is stronger.
对于光伏发电系统来说,传统的最大功率点跟踪(MPPT)控制算法存在稳定性差、无法准确跟踪最大功率的缺点。因此,本文提出了一种基于Lyapunov函数和模糊控制的非线性控制-反演方法来实现MPPT。该方法为系统设计了一个反步控制器,并在反步控制器中使用模糊控制来获取光伏的参考电压。该系统的拓扑电路由光伏板、升压电路和负载组成。仿真实验表明,该控制策略能有效降低光伏发电系统在最大功率时的振荡问题,减轻对电路中电子元件的冲击,鲁棒性更强。
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引用次数: 1
Short-term load forecasting of power system based on time convolutional network 基于时间卷积网络的电力系统短期负荷预测
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896684
Hanmo Wang, Yang Zhao, S. Tan
Along with the deregulation of electric power market as well as aggregation of renewable resources, a sufficiently accurate, robust and fast short-term load forecasting (STLF) is necessary for the day-to-day reliable operation of the grid. To obtain parameter values that provide better performances with faster speed, this paper uses a temporal convolutional network (TCN), which constituted by the one-dimensional convolutional neural network, for short-term load forecasting. It’s commonly thought that recurrent neural networks (RNNs) is the king of short-term load forecasting areas, but the TCN model has faster speed and less memory requirement because of the convolutional neural network structure. The simulation studies are carried out using an hourly power consumption dataset collected from Toronto. Compared with support vector regression machine (SVRM) model and long short-term memory (LSTM) model, the TCN model has the best performance in predicting the short-term electrical load.
随着电力市场的放松管制和可再生资源的集聚,一个足够准确、稳健、快速的短期负荷预测是电网日常可靠运行的必要条件。为了获得性能更好、速度更快的参数值,本文采用由一维卷积神经网络构成的时间卷积网络(TCN)进行短期负荷预测。人们通常认为递归神经网络(rnn)是短期负荷预测领域的王者,但TCN模型由于采用卷积神经网络结构,具有更快的速度和更少的内存需求。模拟研究是使用从多伦多收集的每小时电力消耗数据集进行的。与支持向量回归机(svvrm)模型和长短期记忆(LSTM)模型相比,TCN模型对短期电力负荷的预测效果最好。
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引用次数: 14
Research on the gray distribution model of stripe in structured light 3D measurement 结构光三维测量中条纹灰度分布模型研究
Pub Date : 2019-10-01 DOI: 10.1109/ISNE.2019.8896690
Bang Liu, Q. Xue, P. Sun
Because of the advantages of high measurement accuracy and efficiency, the structured light method has been become a research hotpot in 3D measurement field. The stripe pattern has been widely used in structured light system because of the advantages of anti-noise and high accuracy. Modulated by color and shape of the measurement object, the distribution of the stripe is degenerated. The accuracy of stripe center location, which is a key factor of measurement accuracy, is decreased by the degeneration. In this study, a method for modeling the distribution of stripe in shot image is proposed. Based on the method, several factors which influence the accuracy of locating the stripe center are simulated and analyzed. Furthermore, the performance of typical methods for locating stripe center are simulated. The experiments verified that the method does work. This method not only provide evidence for calculating the measurement accuracy of specific object, but also provide a tool to assess the performance of method for locating stripe center.
结构光方法由于具有测量精度高、效率高等优点,已成为三维测量领域的研究热点。条纹模式由于具有抗噪声和高精度等优点,在结构光系统中得到了广泛的应用。受测量对象的颜色和形状调制,条纹的分布退化。条纹中心定位的精度是影响测量精度的关键因素。本研究提出了一种对镜头图像中条纹分布进行建模的方法。在此基础上,对影响条纹中心定位精度的几个因素进行了仿真分析。此外,还对典型条纹中心定位方法的性能进行了仿真。实验证明该方法是有效的。该方法不仅为计算具体目标的测量精度提供了依据,而且为评价条纹中心定位方法的性能提供了工具。
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引用次数: 0
期刊
2019 8th International Symposium on Next Generation Electronics (ISNE)
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