EE308 Lab1_1

832001319 2022-10-23 00:07:33
The Link Your Classhttps://bbs.csdn.net/forums/MUEE308FZU202201
The Link of Requirement of This Assignmenthttps://bbs.csdn.net/topics/608734618
The Aim of This AssignmentSelf Introduction
MU STU ID and FZU STU ID20122764_832001319

Self Introduction:

My name is Li Xinyue, a student majoring in Electronic Information in Maynooth College of Engineering, Fuzhou University. This year is my third year of college life. I like playing basketball and keeping fit in my spare time, and I am very interested in video editing. I have posted videos I edited on some platforms.

Skills:

  • Write some basic code and programs in C, C++, Python.
  • Basic use of MATLAB
  • Using the arduino platform.

Interests:

I am interested in some technical knowledge of game development and front-end, such as web design and production, wechat small program application development, mobile APP development and production, etc.

Shortcomings:

My ability to write complex code was not good enough, and the total amount of code I wrote was small. Not only that, but I also lacked some knowledge and skills in the back-end direction. For example, some database construction, algorithms and data structures, and so on. In the follow-up study, I hope to learn some back-end technologies through my own efforts and classroom learning.

Coding Quantity: 

From freshman year to present, the amount of assignment code submission, experimental code and project code may add up to about 3000. I hope to have over 10,000 code by the time I graduate.

Course Planning:

I hope I can have a deeper understanding of software engineering in this course, improve my coding ability and teamwork ability, and design and complete a well-functioning small program with my team. In addition, I would like to gain more experience and knowledge about databases.

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内容概要:本文围绕“基于超局部模型与自抗扰ESO观测器的无模型预测电流控制改进策略”展开研究,提出一种结合超局部模型(ULM)与扩张状态观测器(ESO)的无模型预测电流控制(MFPCC)改进方法,旨在提升永磁同步电机(PMSM)电流环的动态响应性能与抗干扰能力。该策略利用超局部模型对系统行为进行局部逼近,避免依赖精确数学模型,同时引入自抗扰控制中的ESO实时观测并补偿系统内外部扰动,有效抑制参数摄动、负载变化及模型不确定性带来的影响。研究通过Simulink搭建完整的控制系统仿真模型,对传统MFPCC与所提改进策略进行对比分析,验证了新方法在电流跟踪精度、响应速度和鲁棒性方面的优越性。; 适合人群:具备电机控制、现代控制理论及Simulink仿真基础的电气工程、自动化及相关专业的研究生、科研人员及工程技术人员。; 使用场景及目标:①用于高性能电机驱动系统中电流环控制器的设计与优化;②为无模型控制与自抗扰控制的融合应用提供技术参考;③支撑相关课题的仿真验证、论文复现与创新方法研究。; 阅读建议:建议读者结合Simulink仿真模型深入理解控制结构与参数整定过程,重点关注ESO的观测性能与扰动补偿机制,并可通过改变负载条件、参数偏差等工况进行鲁棒性测试,进一步掌握该改进策略的核心优势与适用边界。

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