MU-SE: Course summary

m0_51284439 2023-01-12 22:46:19
The Link Your Classhttps://bbs.csdn.net/forums/MUEE308FZU202201
The Link of Requirement of This Assignmenthttps://bbs.csdn.net/topics/611628445
MU STU ID and FZU STU ID20124635 832002210
Video demo link of lab2https://www.bilibili.com/video/BV1GW4y1x71B
Video demo link of lab3https://www.bilibili.com/video/BV1KW4y1L7VM/
GitHub link of lab1https://github.com/Aiorang/Lab1
GitHub link of lab2https://github.com/Aiorang/Lab2
GitHub link of lab3https://github.com/Aiorang/EE301_Lab3
The CSDN links of each Lab
Lab1-1:https://bbs.csdn.net/topics/608836030
Lab1-2:https://bbs.csdn.net/topics/608835737
Lab2-1:https://bbs.csdn.net/topics/608996972
Lab2-2:https://bbs.csdn.net/topics/609272474
Lab3-1:https://bbs.csdn.net/topics/610249727
Lab3-2:https://bbs.csdn.net/topics/611356071

Summary and harvest:

What I learned from personal programming is how to plan a programming plan by analyzing target requirements.
What I've learned in pair programming is how to coordinate team collaboration by building prototypes, and how to develop standards for more standardized collaborative programming.
In the team project programming, I have learned the importance of team communication, and the team should communicate more and coordinate the progress of the work in order to promote the progress of the project more efficiently. Only more communication can modify the irrationality of the initial plan, and better promote team harmony.

Technology and tools:

  1. Learn the markdown format for article blogging.
  2. Become more familiar with how to use Unity for game programming.
  3. Learn how to use C# to write game back-end scripts and implement game logic
  4. Learn how to use Unity for unit testing and how to optimize projects through testing
  5. Learn to write various UML diagrams and mind maps to model and plan projects
  6. The most important technology learned in this course is still the experience of teamwork, through this course I also deeply realized that good teamwork is the cornerstone of a project realization.
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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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