Course Restructuring and Laboratory Development in Power Electronics and Electric Drives

电力电子与电力驱动课程重组与实验室建设

基本信息

  • 批准号:
    0311145
  • 负责人:
  • 金额:
    $ 7.59万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2003
  • 资助国家:
    美国
  • 起止时间:
    2003-08-15 至 2005-07-31
  • 项目状态:
    已结题

项目摘要

The electrical engineering program at Texas A&M University- Kingsville (TAMUK) offers power electronics as an elective course and electric machinery as a required course. Due to increased perception that these courses are old-fashion and the materials covered in them are out-of-date, the credit hours of electric machinery courses have been reduced, and there is evident from recent years that shows a reduction in the number of students enrolling in these courses. However, the power industry demand for trained power engineers continues to grow! Hence, the objective of this project is to revitalize these courses with the introduction of start-of-art laboratories using digital control and digital signal processing (DSP). The goals of this restructuring include 1) to provide the requisite information about power electronics and electric drives in such a way by combining them with digital and DSP based control; 2) to make the reconstructed courses appealing and exciting; 3) to ensure the highest quality of education; and 4) to prepare students for industry as well as for advanced courses. As a consequence of these course revisions, a larger supply of trained power engineers is produced to meet modern power industry needs. The course restructuring and laboratory development are based on the materials and approaches developed at the University of Minnesota (UMN). The materials and approaches have been demonstrated to be successful at UMN through the significantly increased number of undergraduate students enrolled in the Power Electronic and Electric Drives courses and in their performance in these courses. This project is mainly targeting minority undergraduate students in South Texas area but working professional engineers in the chemical process industries and in the electric companies in this area can also benefit from taking these courses.
德州农工大学金斯维尔分校(TAMUK)的电气工程专业提供电力电子作为选修课,电机作为必修课。由于越来越多的人认为这些课程是过时的,其中所涵盖的材料已经过时,电机课程的学分已经减少,近年来有明显的迹象表明,这些课程的学生人数减少。然而,电力行业对训练有素的电力工程师的需求持续增长!因此,该项目的目标是通过引进使用数字控制和数字信号处理(DSP)的最新实验室来振兴这些课程。此次重组的目标包括:1)通过将电力电子和电力驱动与基于数字和DSP的控制相结合,以这种方式提供有关电力电子和电力驱动的必要信息; 2)使重建的课程具有吸引力和令人兴奋; 3)确保最高的教育质量;以及4)为学生准备工业以及高级课程。由于这些课程的修订,产生了更多的训练有素的电力工程师,以满足现代电力工业的需求。课程重组和实验室开发是基于明尼苏达大学(UMN)开发的材料和方法。材料和方法已被证明是成功的UMN通过在电力电子和电气驱动课程,并在这些课程的表现显著增加的本科生人数。该项目主要针对德克萨斯州南部地区的少数民族本科生,但在该地区的化学加工行业和电气公司工作的专业工程师也可以从这些课程中受益。

项目成果

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Shuhui Li其他文献

Quantitative Modeling and Decoupling Method for Assembly Deformation Analysis Considering Residual Stress from Manufacturing Process
考虑制造过程残余应力的装配变形分析定量建模与解耦方法
  • DOI:
    10.1061/(asce)as.1943-5525.0000400
  • 发表时间:
    2015-05
  • 期刊:
  • 影响因子:
    2.4
  • 作者:
    Lina Zhang;Hua Wang;Shuhui Li;Zhongqin Lin
  • 通讯作者:
    Zhongqin Lin
An optimal trajectory planning method for path tracking of industrial robots
工业机器人路径跟踪的最优轨迹规划方法
  • DOI:
    10.1017/s0263574718001145
  • 发表时间:
    2018-10
  • 期刊:
  • 影响因子:
    2.7
  • 作者:
    Xianxi Luo;Shuhui Li;Shubo Liu;Guoquan Liu
  • 通讯作者:
    Guoquan Liu
Dynamic P-Q Capability and Abnormal Operation Analysis of a Wind Turbine With Doubly Fed Induction Generator
双馈感应发电机风电机组的动态P-Q能力及异常运行分析
Design of Logarithmic-Index Fiber for Orbital Angular Momentum (OAM)Transmission
用于轨道角动量(OAM)传输的对数折射率光纤设计
Demonstration of a Visible-Light Communication Link Employing High-Base Vector Beam Modulation/Demodulation
采用高基矢量光束调制/解调的可见光通信链路演示

Shuhui Li的其他文献

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{{ truncateString('Shuhui Li', 18)}}的其他基金

PFI-RP: Development of Novel Inverter Technologies and Prototypes for Enhanced Power Generation from Renewable Energy Resources
PFI-RP:开发新型逆变器技术和原型以增强可再生能源发电
  • 批准号:
    2141067
  • 财政年份:
    2022
  • 资助金额:
    $ 7.59万
  • 项目类别:
    Standard Grant
I-Corps: Approximate Dynamic Programming and Artificial Neural Network Control for Microgrids
I-Corps:微电网的近似动态规划和人工神经网络控制
  • 批准号:
    1744159
  • 财政年份:
    2017
  • 资助金额:
    $ 7.59万
  • 项目类别:
    Standard Grant
PFI:AIR - TT: Toward Commercialization: Development of Neural Network Control and Power Converter Prototype for Renewables and Smart Grid Integration
PFI:AIR - TT:迈向商业化:开发用于可再生能源和智能电网集成的神经网络控制和电源转换器原型
  • 批准号:
    1414379
  • 财政年份:
    2014
  • 资助金额:
    $ 7.59万
  • 项目类别:
    Standard Grant
II-New: Modern Computing Infrastructure for Research and Education of Future Smart and Renewable Energy Systems
II-新:用于未来智能和可再生能源系统研究和教育的现代计算基础设施
  • 批准号:
    1059265
  • 财政年份:
    2011
  • 资助金额:
    $ 7.59万
  • 项目类别:
    Standard Grant
Collaborative Research: Wind Power - Neural Network Control, Multidisciplinary Integration, and Advanced Simulation
合作研究:风电-神经网络控制、多学科集成和高级仿真
  • 批准号:
    1102038
  • 财政年份:
    2011
  • 资助金额:
    $ 7.59万
  • 项目类别:
    Standard Grant

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