dc-ac-10-kW-inverter

日本罗姆ML5238设计文档及DEMO版资料！(Japanese Rohm ML5238 design documents and DEMO edition information!)

说明：  这是一个关于数字交流电压表的设计方案，详细介绍了硬件及软件设计(This is a study on digital AC voltage meter design, detailed hardware and software design)

介绍了经典的时频分布和检测理论的同时，作者利用时频分布的方法，将一 维时间信号转化到二维的时频空间中，通过提取图像的特征来判决信号和杂波， 采用的数据是使用McMaster IPIX雷达，在加拿大东海岸附近测得的。实测数据 研究表明此方法可以得到很好的检测结果。 (In this paper,we first review the time-frequency analysis and time -frequency-based detection methods.Secondly,by analyzing a mass of the measured data of sea clutter,we show the difference of time-frequency geometric features between echoes with a target and pure sea clutter.Finally,we given the detection algorithm based on the time-frequency geometric features.The results of the measured data show that the proposed method can effectively find low-velocity small targets in sea clutter.This approach is a novel try to detect small targets in sea clutter.)

矢量控制与直接转矩控制是当前主要的两种电机变频调速控制方法，已在两相交流感应电机中得到 了应用。分析了两相不对称电机矢量控制和直接转矩控制原理以及两相三桥臂逆变器的SVPWM实现方法； 运用Matlab的Simulink建立了两相不对称交流感应电机矢量控制和直接转矩控制调速系统的仿真模型，并 对两种控制系统进行了仿真研究，给出了仿真波形，进行了特性比较． 关键词：两相电机；矢量控制；直接转矩控制；SVPWM；MATLAB；仿真(Vector Control and Direct Torque Control is currently the main method of frequency control of two motors, has been in two-phase AC induction motor has been applied. Analysis of asymmetric two-phase motor vector control and direct torque control principle and two-phase SVPWM inverter arm Bridge Implementation the use of Matlab in Simulink to establish a two-phase AC induction motor asymmetry of vector control and direct torque control modulation speed of system simulation models, and the two control system was simulated, the simulation waveform characteristics were compared. Key words: two-phase motor vector control direct torque control SVPWM MATLAB Simulation)

当前，矢量控制是一种优越的交流电机控制方式，它模拟直流电机的控制方式使得交流电机也能取得与直流电机相媲美的控制 效果。依据矢量控制的基本原理和方法，用 456752 8 9:4 7:<= 模块构建了一个基于转子磁场定向的旋转坐标系下的交流异步 电机矢量控制系统仿真模型，对其速度控制器提出并设计一种模糊滑模变结构控制算法。该控制算法具备模糊逻辑控制和滑模 变结构控制两者优点，并且较好地解决了滑动模态的抖动问题。仿真结果表明了该设计的可行性以及具有良好的动静态性能、 较强的鲁棒性(6.C+D& EFB@.A B.*@A.G ! H’ , )?+ ?1IFA).A B.*@A.G J.CF .K )*C1B@).* J.@.AL :@ B+* .>@+)* @(F ?+JF B.*@A.G FKKFB@ .K M’ J.@.A >D J.CFG)*/ @(F B.*@A.G J.CF .K M’ J.@.AL 5BB.AC)*/ @. EFB@.A B.*@A.G N ? IA)*B)IGF+*C JF@(.C& 456752 8 9:4 7:<= J.C1GF O+? 1?FC @. >1)GC+ ?)J1P G+@).* J.CFG .K 5’ J.@.A EFB@.A B.*@A.G ?D?@FJ >+?FC .* @(F A.@.A KG1Q .A)F*@FC B..AC)*+@F )* @()? I+IFAL R1SSD ?G)C)*/ E+A)+>GF ?@A1B@1AF B.*@A.G O+? IA.I.?FC+*C FJIG.DFC )* ?IFFC B.*@A.GGFAL 6(F B.*@A.GGFA I.??F??FC @(F JFA)@? .K K1SSD G./)B B.*@A.G+*C ?G)C)*/ J.CF E+A)+>GF ?@A1B@1AF B.*@A.G ， +*C )@ B+* ?.GEF @(F IA.>GFJ .K @(F B(+@@FA)*/ .K ?G)C)*/ J.CFL 6(F AF?1G@? .K ?)J1G+@).* )*C)B+@F @(+@ @(F B.*@A.GGFA O+? O.AT+>GF O)@( /..C A.>1?@*F??+*C /..C CD*+J)B+*C ?@+@)B IFAK.AJ+*BF F?IFB)+GGD )* @(F K)FGC .K F*/)*FFA)*/)

基于协方差矩阵稀疏表示的信源估计程序和论文(Direction-of-Arrival Estimation Using a Sparse Representation of Array Covariance Vectors)

In the TCP/IP protocol suite, TCP is the intermediate layer between IP below it, and an application above it. Using TCP, applications on networked hosts can establish reliable connections to one another. The protocol guarantees in-order delivery of data from the sender to the receiver Streams of data called segments are used by TCP peers to speak to each other. The segments can be quite large, so TCP breaks up the segments into smaller units of data. These units are encapsulated in the TCP packet that is passed to the IP protocol. Each unit of data is assigned a sequence number, which becomes part of the TCP packet. At the receiving end, the TCP module uses the sequence numbers in the packet to reconstruct the user data in the correct order.

改程序是郭磊，基于定向二维插值的逆投影变换方法论文中对应的程序，对于学习该篇论文的朋友有一定的帮助。(Guo Lei reform program is based on inverse projection transform paper orientation corresponding two-dimensional interpolation program for learning the papers friends will certainly help.)

设备管理系统毕业论文 ，里面有相关的照片及相关的代码，等等(Device Manager)

对采集到的电压信号进行小波包分解提取特征向量，再进行BP神经网络训练(On the acquisition of the voltage signal to the wavelet packet decomposition to extract feature vector and then BP neural network training)