機械工程 自動化與控制理論專題：數(shù)控技術在機器人的自適應控制策略及數(shù)字化制造中的應用研究【大學組】

專業(yè)：工程,人工智能

項目類型：國外小組科研

開始時間：2024年12月07日

是否可加論文：是

項目周期：7周在線小組科研學習+5周不限時論文指導學習

語言：英文

有無剩余名額：名額充足

建議學生年級：大學生

是否必需面試：否

適合專業(yè)：電子與計算機科學通信與信息系統(tǒng)計算機工程人工智能機器人機械工程車輛工程自動駕駛智能制造

地點：無

建議選修：工程系統(tǒng)建模與設計原理

建議具備的基礎：機械工程、自動化與控制理論、機器人學、人工智能、智能制造等專業(yè)或者希望修讀相關專業(yè)的學生 學生需要具備微積分、信號與系統(tǒng)基礎，并會使用MATLAB編程語言

產出：7周在線小組科研學習+5周不限時論文指導學習 共125課時 項目報告 優(yōu)秀學員獲主導師Reference Letter EI/CPCI/Scopus/ProQuest/Crossref/EBSCO或同等級別索引國際會議全文投遞與發(fā)表指導（可用于申請） 結業(yè)證書 成績單

項目背景：當前，云計算、物聯(lián)網和大數(shù)據等新興信息通信技術快速發(fā)展，為機器人的高端制造應用提供了新的思路和發(fā)展契機。數(shù)字化、網絡化、智能化融合創(chuàng)新引領未來工業(yè)發(fā)展已取得廣泛共識。我國在《十四五規(guī)劃和2035年遠景目標綱要》也明確提出要“加快推進制造強國、質量強國建設。深入實施智能制造和綠色制造工程。發(fā)展服務型制造新模式。推動制造業(yè)高端化智能化綠色化”。而傳統(tǒng)的人工以及專機加工。加工質量一致性差、效率低且只能實現(xiàn)小批量生產，已無法滿足智能制造需求。區(qū)別于傳統(tǒng)工業(yè)機器人簡單、重復性勞動，高端制造機器人是更信息化、網絡化、智能化、柔性化的機器人。在智能工廠中，機器人的作業(yè)環(huán)境日益非結構化。生產的動態(tài)性對機器人的環(huán)境感知與控制技術提出了越來越高的要求。在未來的智能工廠中，機器人也將得到更加廣泛的應用，其控制性能不僅影響到最終的加工效果，還影響到加工過程的安全。高精、高效、高柔性、高穩(wěn)定性的控制策略能為工件的安全制造提供堅實的保障。Currently, emerging information and communication technologies such as cloud computing, the Internet of Things, and big data are rapidly developing, providing new ideas and development opportunities for high-end manufacturing applications of robots. The integration and innovation of digitization, networking, and intelligence have achieved broad consensus in leading future industrial development. In the 14th Five Year Plan and the 2035 Long Range Goals Outline, China also explicitly proposes to 'accelerate the construction of a strong manufacturing and quality country, deepen the implementation of intelligent manufacturing and green manufacturing projects, develop new service-oriented manufacturing models, and promote the high-end, intelligent, and green manufacturing industry. And traditional manual and specialized machine processing. The consistency of processing quality is poor, the efficiency is low, and only small batch production can be achieved, which can no longer meet the needs of intelligent manufacturing. Unlike traditional industrial robots with simple and repetitive labor, high-end manufacturing robots are more information-based, networked, intelligent, and flexible robots. In intelligent factories, the working environment of robots is becoming increasingly unstructured. The dynamic nature of production places increasing demands on the environmental perception and control technology of robots. In future intelligent factories, robots will also be more widely used, and their control performance not only affects the final processing effect, but also affects the safety of the processing process. The control strategy of high precision, efficiency, flexibility, and stability can provide a solid guarantee for the safe manufacturing of workpieces

項目介紹：本項目主要研究自動化控制和數(shù)字技術的原理。通過學習，學生將能夠了解離散控制系統(tǒng)相關知識，掌握機器人系統(tǒng)等數(shù)字技術中自動控制器的設計和分析方法。具體內容涵蓋控制方法論、控制系統(tǒng)的數(shù)學分析、控制設計方法、離散控制系統(tǒng)及其前沿應用。為以后學生能夠在機電一體化、機器人等智能制造領域深入研究打下堅實的基礎。This project mainly studies the principles of automation control and digital technology. Through learning, students will be able to understand knowledge related to discrete control systems and master the design and analysis methods of automatic controllers in digital technologies such as robot systems. The specific contents include control methodology, mathematical analysis of control system, control design method, discrete control system and its cutting-edge applications. To lay a solid foundation for future students to conduct in-depth research in intelligent manufacturing fields such as mechatronics and robotics.

項目大綱：機器人和控制導論：使用拉普拉斯變換對時域和頻域中的反饋控制器進行建模，以及控制性能和穩(wěn)定性分析 Introduction to robotics and control 離散控制系統(tǒng)簡介：用于分析和設計機器人和實驗系統(tǒng)離散控制器的財產和z變換的使用 Introduction to discrete control systems 離散控制系統(tǒng)的系統(tǒng)規(guī)范和性能：用于機器人動力學分析的狀態(tài)空間形式的離散控制 System specification and performance of discrete control systems 控制系統(tǒng)的應用：在機器人和其他數(shù)字技術中的應用示例 pplication of Control Systems 學術研討1：教授與各組學生探討并評估個性化研究課題可行性，幫助學生明晰后續(xù)科研思路 Final Project Preparation Session I 學術研討2：教授將根據各組進度進行個性化指導，確保學生優(yōu)質的終期課題產出 Final Project Preparation Session II 項目成果展示 Final Presentation 論文指導 Project Deliverables Tutoring