MU-SE: Course Summary

Einzbern 2023-01-13 20:25:39
The Link Your Classhttps://bbs.csdn.net/forums/MUEE308FZU202201
The Link of Requirement of This Assignmenthttps://bbs.csdn.net/topics/611628445
The Aim of This Assignmentsummary
MU STU ID and FZU STU ID832001111/20124759
GitHub Linkhttps://github.com/yycgod123/EE308-Project/releases
Video demo linkhttps://www.bilibili.com/video/BV12P4y117Vq/?share_source=copy_web
1. The CSDN links of each Lab

Lab2-1:https://blog.csdn.net/m0_72469299/article/details/127698440

Lab2-2: https://blog.csdn.net/m0_72469299/article/details/127812827

2. Summary and harvest
In this semester's software engineering course experiment, I gained a lot of new knowledge in the study. It was the first time for us to use a new environment and way to create a task. Making a small program made me feel a great sense of achievement and realized that we need a team to better complete a task. Later in the team project, the same experience, some tasks can not be completed by one person. The power of individuals is limited, but if we are in the collective, we can exert more abilities. In a team project, we would first set goals and then take actions, which greatly improved our efficiency. Then we would continue to discuss in the following meetings to understand the progress of each other, and finally put them together like building blocks. This experience was novel and exciting.

3.Technology and tools
Wechat Developer Tool: wechat Developer tool is a platform for the development of wechat small programs. In this experiment, I learned how to use the wechat developer tool to build wechat mini programs, as well as the language required by the wechat developer tool.

GitHub: GitHub is an online code library where you can upload and view code. In this experiment, I learned to upload code via Github and learn other code.

Inkknife: Inkknife is a prototyping tool, an online prototyping platform. In this experiment, I learned to draw a circle with an ink knife and create the ui we needed with the mold provided by the platform. While using the ink knife, I learned to create models and refine them as needed.

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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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