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PMSG_for_WindPower_GridSide
PMSG网侧的结构包括逆变器、PWM发生器、电压矢量控制。采用电压外环和电流内环的双闭环控制。设计电流控制器时,希望稳态电流无静差,而且动态要求上,永磁直驱风力发电系统中不允许在电流调节过程中有太大的电流超调.(PMSG network side structure includes an inverter, PWM generators, voltage vector control. Using a voltage outer and inner current double closed loop control. Design current controller, hope no static error steady-state current, and the dynamic requirements, permanent magnet direct drive wind power system does not allow much of the current overshoot in the current regulation process.)
- 2020-07-01 20:40:02下载
- 积分:1
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AdvantechPCI1720
Advantech PCI1720 DA driver on the Matlab/xpc platform.
- 2014-11-20 11:53:52下载
- 积分:1
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lagrange
Lagrange Interpolation
- 2014-01-05 23:14:18下载
- 积分:1
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matlab-MK
matlab MK检验程序,用来检验时间序列突变型(matlab_MK test)
- 2013-05-19 23:27:47下载
- 积分:1
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exemple
list of matlab m-files on matlab 7.0. learning , support vector machine and some utility routines : autocorrelation, linearly scale randomize the row order of a matrix
- 2009-05-01 18:02:41下载
- 积分:1
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gatbx-example
说明: 利用遗传算法计算下面函数的最大值 (The use of genetic algorithm function below the maximum)
- 2008-11-03 20:38:21下载
- 积分:1
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EEMD
EEMD是针对EMD方法的不足,提出了一种噪声辅助数据分析方法。EEMD分解原理为:当附加的白噪声均匀分布在整个时频空间时,该时频空间就由滤波器组分割成的不同尺度成分组成。当信号加上均匀分布的白噪声背景时,不同尺度的信号区域将自动映射到与背景白噪声相关的适当尺度上去。当然,每个独立的测试都可能会产生非常嘈杂的结果,这是因为每个附加噪声的成分都包括了信号和附加的白噪声。既然在每个独立的测试中噪声是不同的,当使用足够测试的全体均值时,噪声将会被消除。全体的均值最后将会被认为是真正的结果,唯一持久稳固的部分是信号本身,所 加入的多次测试是为了消除附加的噪声。(The EEMD collection of experience decomposition is improved on the basis of the EMD more given a data processing method!)
- 2013-01-16 21:56:41下载
- 积分:1
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6
说明: MATLAB通用神经网络源代码
MATLAB通用神经网络源代码(Generic neural network MATLAB source code)
- 2013-08-27 18:28:09下载
- 积分:1
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UltraSonic_M_Echo_sin
在matlab上对复倒谱回波检测系统的仿真,可由此对管道质量经行检测
(In matlab Complex Cepstrum of echo detection system simulation, which can the quality of the pipeline by the line detection)
- 2008-05-17 12:30:34下载
- 积分:1
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EEMD
求解EEMD的工具箱,里面包含EEMD主程序,可以直接调用(Solving the EEMD toolbox, which contains the EEMD main program, you can directly call it)
- 2021-03-30 13:49:09下载
- 积分:1