機(jī)械工程 自動(dòng)化與控制理論專題：數(shù)控技術(shù)在機(jī)器人的自適應(yīng)控制策略及數(shù)字化制造中的應(yīng)用研究【大學(xué)組】

專業(yè)：工程,人工智能

項(xiàng)目類型：國(guó)外小組科研

開(kāi)始時(shí)間：2024年12月07日

是否可加論文：是

項(xiàng)目周期：7周在線小組科研學(xué)習(xí)+5周不限時(shí)論文指導(dǎo)學(xué)習(xí)

語(yǔ)言：英文

有無(wú)剩余名額：名額充足

建議學(xué)生年級(jí)：大學(xué)生

是否必需面試：否

適合專業(yè)：電子與計(jì)算機(jī)科學(xué)通信與信息系統(tǒng)計(jì)算機(jī)工程人工智能機(jī)器人機(jī)械工程車(chē)輛工程自動(dòng)駕駛智能制造

地點(diǎn)：無(wú)

建議選修：工程系統(tǒng)建模與設(shè)計(jì)原理

建議具備的基礎(chǔ)：機(jī)械工程、自動(dòng)化與控制理論、機(jī)器人學(xué)、人工智能、智能制造等專業(yè)或者希望修讀相關(guān)專業(yè)的學(xué)生 學(xué)生需要具備微積分、信號(hào)與系統(tǒng)基礎(chǔ)，并會(huì)使用MATLAB編程語(yǔ)言

產(chǎn)出：7周在線小組科研學(xué)習(xí)+5周不限時(shí)論文指導(dǎo)學(xué)習(xí) 共125課時(shí) 項(xiàng)目報(bào)告 優(yōu)秀學(xué)員獲主導(dǎo)師Reference Letter EI/CPCI/Scopus/ProQuest/Crossref/EBSCO或同等級(jí)別索引國(guó)際會(huì)議全文投遞與發(fā)表指導(dǎo)（可用于申請(qǐng)） 結(jié)業(yè)證書(shū) 成績(jī)單

項(xiàng)目背景：當(dāng)前，云計(jì)算、物聯(lián)網(wǎng)和大數(shù)據(jù)等新興信息通信技術(shù)快速發(fā)展，為機(jī)器人的高端制造應(yīng)用提供了新的思路和發(fā)展契機(jī)。數(shù)字化、網(wǎng)絡(luò)化、智能化融合創(chuàng)新引領(lǐng)未來(lái)工業(yè)發(fā)展已取得廣泛共識(shí)。我國(guó)在《十四五規(guī)劃和2035年遠(yuǎn)景目標(biāo)綱要》也明確提出要“加快推進(jìn)制造強(qiáng)國(guó)、質(zhì)量強(qiáng)國(guó)建設(shè)。深入實(shí)施智能制造和綠色制造工程。發(fā)展服務(wù)型制造新模式。推動(dòng)制造業(yè)高端化智能化綠色化”。而傳統(tǒng)的人工以及專機(jī)加工。加工質(zhì)量一致性差、效率低且只能實(shí)現(xiàn)小批量生產(chǎn)，已無(wú)法滿足智能制造需求。區(qū)別于傳統(tǒng)工業(yè)機(jī)器人簡(jiǎn)單、重復(fù)性勞動(dòng)，高端制造機(jī)器人是更信息化、網(wǎng)絡(luò)化、智能化、柔性化的機(jī)器人。在智能工廠中，機(jī)器人的作業(yè)環(huán)境日益非結(jié)構(gòu)化。生產(chǎn)的動(dòng)態(tài)性對(duì)機(jī)器人的環(huán)境感知與控制技術(shù)提出了越來(lái)越高的要求。在未來(lái)的智能工廠中，機(jī)器人也將得到更加廣泛的應(yīng)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(guò)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(jiān)實(shí)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(xiàng)目介紹：本項(xiàng)目主要研究自動(dòng)化控制和數(shù)字技術(shù)的原理。通過(guò)學(xué)習(xí)，學(xué)生將能夠了解離散控制系統(tǒng)相關(guān)知識(shí)，掌握機(jī)器人系統(tǒng)等數(shù)字技術(shù)中自動(dòng)控制器的設(shè)計(jì)和分析方法。具體內(nèi)容涵蓋控制方法論、控制系統(tǒng)的數(shù)學(xué)分析、控制設(shè)計(jì)方法、離散控制系統(tǒng)及其前沿應(yīng)用。為以后學(xué)生能夠在機(jī)電一體化、機(jī)器人等智能制造領(lǐng)域深入研究打下堅(jiān)實(shí)的基礎(chǔ)。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(xiàng)目大綱：機(jī)器人和控制導(dǎo)論：使用拉普拉斯變換對(duì)時(shí)域和頻域中的反饋控制器進(jìn)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(jiǎn)介：用于分析和設(shè)計(jì)機(jī)器人和實(shí)驗(yàn)系統(tǒng)離散控制器的財(cái)產(chǎn)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(jī)器人動(dòng)力學(xué)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(yīng)用：在機(jī)器人和其他數(shù)字技術(shù)中的應(yīng)用示例 pplication of Control Systems 學(xué)術(shù)研討1：教授與各組學(xué)生探討并評(píng)估個(gè)性化研究課題可行性，幫助學(xué)生明晰后續(xù)科研思路 Final Project Preparation Session I 學(xué)術(shù)研討2：教授將根據(jù)各組進(jìn)度進(jìn)行個(gè)性化指導(dǎo)，確保學(xué)生優(yōu)質(zhì)的終期課題產(chǎn)出 Final Project Preparation Session II 項(xiàng)目成果展示 Final Presentation 論文指導(dǎo) Project Deliverables Tutoring