electric motor control sang-hoon kim
时间: 2024-01-08 16:00:26 浏览: 29
电动机控制是指对电动机进行运行状态和运行速度的控制。Sang-Hoon Kim是韩国的一个电动机控制专家,他在该领域做出了重要贡献。
电动机控制是现代工业中不可或缺的一项技术。通过控制电动机的转速和运行方式,我们可以实现对设备的精确控制,提高生产效率,降低能源消耗。
Sang-Hoon Kim在电动机控制领域取得了显著的进展。他提出了一种创新的电动机控制算法,能够更准确地控制电动机的速度和转向。他的研究成果使得电动机的运行更加平稳,噪音和震动也得到了显著减少。
此外,Sang-Hoon Kim还开发了一种具有高效能力的电动机控制器。该控制器通过与电动机的接口连接,能够实时监测电动机的运行状态和工作条件,并根据实际需求自动调整电动机的转速和运行模式。这一技术的应用使得电动机在不同工作条件下表现更加可靠稳定。
Sang-Hoon Kim的研究对于电动车辆工业也有很大的意义。他提出的电动机控制算法和控制器可以提高电动车辆的性能和效率,延长电池寿命,并减少电动车辆的噪音和排放。
总的来说,Sang-Hoon Kim在电动机控制领域的贡献是不可忽视的。他的研究成果为提高电动机控制的精确性和效率提供了重要的技术支持,对于现代工业和电动车辆工业的发展都有着积极的影响。
相关问题
财务管理系统,英文文献
以下是一些关于财务管理系统的英文文献:
1. "Design and Implementation of Financial Management System Based on Cloud Computing" by Yongbo Liu, Xiaoping Jiang, and Xiaohui Liu. This paper describes the design and implementation of a financial management system based on cloud computing technology.
2. "A Study on the Development of Financial Management System for Small and Medium Enterprises" by Hyun-Geun Kim, Sang-Min Lee, and Seung-Jun Kwak. This paper presents the development of a financial management system for small and medium enterprises (SMEs) based on the analysis of their financial characteristics.
3. "The Development of a Web-based Financial Management System for Non-profit Organizations" by Seung-Woo Lee, Jung-Hoon Kim, and Sang-Yeon Kim. This paper describes the development of a web-based financial management system for non-profit organizations (NPOs) to enhance their financial transparency and accountability.
4. "Design and Implementation of a Financial Management System for Universities" by Gao Peng, Zhang Ying, and Liang Wei. This paper presents the design and implementation of a financial management system for universities, which includes modules for budgeting, accounting, and financial analysis.
5. "A Comparative Study of Open-source Financial Management Systems" by Sumanth Raju and T. V. Prasad. This paper compares several open-source financial management systems, including their features, usability, and performance.
这些文献可以在学术搜索引擎如Google Scholar或者IEEE Xplore上找到。
function [t,s] = specxture(f) %SPECXTURE Computes self-correlation of an image. % [SRAD, SANG, S] = SPECXTURE(F) computes SRAD, the spectral energy % distribution as a function of radius from the center of the % spectrum, SANG, the spectral energy distribution as a function of % angle for 0 to 180 degrees in increments of 1 degree, and S = % log(1 + spectrum of f), normalized to the range [0, 1]. The % maximum value of radius is min(M,N), where M and N are the number % of rows and columns of image (region) f. Thus, SRAD is a row % vector of length = (min(M, N)/2) - 1; and SANG is a row vector of % length 180. s = abs(fft2(f)).^2; %imshow(f,[]);figure;mesh(S); [M, N] = size(s); % Maximum radius that guarantees a circle centered at (x0, y0) that % does not exceed the boundaries of S. rmax = min(M, N); [U,V]=meshgrid(1:rmax,1:rmax); S = s(1:rmax,1:rmax); % Compute isotropy SU = U.^2.*S; SU = sum(SU(:)); SV = V.^2.*S; SV = sum(SV(:)); SUV = U.*V.*S; SUV = sum(SUV(:)); iso = (SU-SV)/sqrt((SU+SV)^2-4.*SUV);%方向 w = 1/sqrt((SU+SV)/sum(S(:)));%相关长度 s = log(s); t(1) = w; t(2) = iso;转为pyhton代码
抱歉,我是一个自然语言处理模型,无法直接将 MATLAB 代码转换为 Python 代码。不过,您可以使用 MATLAB 的 Python API 或者手动将代码转换为 Python 代码。以下是手动转换的 Python 代码:
```python
import numpy as np
def specxture(f):
s = np.abs(np.fft.fft2(f)) ** 2
M, N = s.shape
rmax = min(M, N)
U, V = np.meshgrid(np.arange(1, rmax + 1), np.arange(1, rmax + 1))
S = s[0:rmax, 0:rmax]
SU = np.sum(U ** 2 * S)
SV = np.sum(V ** 2 * S)
SUV = np.sum(U * V * S)
iso = (SU - SV) / np.sqrt((SU + SV) ** 2 - 4 * SUV)
w = 1 / np.sqrt((SU + SV) / np.sum(S))
s = np.log(1 + s) / np.max(np.log(1 + s))
return w, iso, s
```
这里采用了 NumPy 库中的函数来进行数组操作和傅里叶变换。注意,在 Python 中,除法符号 `/` 的行为与 MATLAB 中略有不同,需要根据需要使用 `/` 或 `//`,以及在函数开头加上 `from __future__ import division` 来进行精确除法。