Digital-Twin-Enabled Smart Control Engineering: A Framework and Case Studies (數位雙胞胎驅動的智慧控制工程：框架與案例研究)
Viola, Jairo, Chen, Yangquan
- 出版商: Springer
- 出版日期: 2024-03-14
- 售價: $2,180
- 貴賓價: 9.5 折 $2,071
- 語言: 英文
- 頁數: 111
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3031221427
- ISBN-13: 9783031221422
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商品描述
This book presents a novel design framework for the development of Digital Twin (DT) models for process- and motion-control applications. It is based on system-data acquisition using cutting-edge computing technologies, modelling of physical-system behavior through detailed simultaneous simulation of different aspects of the system, and optimal dynamic behavior-matching of the process. The design framework is enhanced with real-time data analytics to improve the performance of the DT's behavior-matching with the real system or physical twin.
The methods of creating a DT detailed in Digital-Twin-Enabled Smart Control Engineering make possible the study of a system for real-time controller tuning and fault detection. They also facilitate life-cycle analysis for multiple critical and dangerous conditions that cannot be explored in the corresponding real system or physical twin. The authors show how a DT can be exploited to enable self-optimizing capabilitiesin feedback control systems.
The DT framework and the control-performance assessment, fault diagnosis and prognosis, remaining-useful-life analysis, and self-optimizing control abilities it allows are validated with both process- and motion-control systems and their DTs. Supporting MATLAB-based material for a case study and an expanded introduction to the basic elements of DTs can be accessed on an associated website.
This book helps university researchers from many areas of engineering to develop new tools for control design and reliability and life-cycle assessment and helps practicing engineers working with robotic, manufacturing and processing, and mechatronic systems to maintain and develop the mechanical tools they use.
商品描述(中文翻譯)
本書提出了一個新穎的設計框架，用於開發數位雙胞胎（Digital Twin, DT）模型，應用於過程和運動控制。該框架基於使用尖端計算技術的系統數據獲取，通過詳細的同時模擬系統的不同方面來建模物理系統行為，以及對過程的最佳動態行為匹配。設計框架增強了實時數據分析，以改善DT行為與實際系統或物理雙胞胎的匹配性能。
在《Digital-Twin-Enabled Smart Control Engineering》中詳細介紹的創建DT的方法，使得對系統進行實時控制器調整和故障檢測的研究成為可能。這些方法還促進了對多種關鍵和危險條件的生命週期分析，這些條件在相應的實際系統或物理雙胞胎中無法探索。作者展示了如何利用DT來實現反饋控制系統的自我優化能力。
DT框架及其所允許的控制性能評估、故障診斷與預測、剩餘使用壽命分析和自我優化控制能力，已在過程和運動控制系統及其DT中進行了驗證。支持MATLAB的案例研究材料和DT基本元素的擴展介紹可在相關網站上獲取。
本書幫助來自多個工程領域的大學研究人員開發控制設計、可靠性和生命週期評估的新工具，並幫助從事機器人、製造和加工以及機電系統的實務工程師維護和開發他們所使用的機械工具。
作者簡介
Dr. Jairo Viola is an electronic engineer with a master's degree in electronics from Pontifical Bolivarian University, Bucaramanga, Colombia. He earned his Ph.D. on Mechanical Engineering in 2022 at the Mechatronics, Embedded Systems, and Automation Lab (MESA Lab), University of California, Merced. For five years, he worked as a professor in the faculties of Electronic Engineering and Computer Sciences at the Pontifical Bolivarian University, Bucaramanga, Colombia, teaching Programming, Computer Architecture, and Operating Systems courses. His research topics are Process Control, Robotics, Artificial Intelligence, Digital Twin, Machine Learning and Big Data, Edge Computing and Fault Detection for Industrial Processes and Applied Fractional Order Calculus.
Dr. YangQuan Chen is a full professor at the School of Engineering, University of California, Merced. He was a faculty of Electrical and Computer Engineering Department of Utah State University, Logan, Utah, from 2000 to 2012 where he was a tenured associate professor and the director for the Center for Self-Organizing and Intelligent Systems (CSOIS) from 2004-2012. Dr. Chen published many books, papers, and patents. As the general co-chair for ICUAS 2014 and 2017, 2019 and 2023 (International Conference on Unmanned Aircraft Systems) Dr. Chen has been active in UAS research and its applications in precision agriculture, environmental monitoring and digital heritage. He was on the editorial board for journals like IEEE Trans. on Control Systems Technology, ISA Trans., IFAC journals of Control Engineering Practice, ASME Journal of Dynamics Systems, Measurement and Control. Right now he serves as an associate editor for IFAC Mechatronics, Fractional Calculus and Applied Analysis, Nonlinear Dynamics, as well as again ASME Journal of Dynamics Systems, Measurement and Control. He is now serving as the topical editor-in-chief (Field Robotics) for International Journalof Advanced Robotics Systems (IJARS) and Intelligent Service Robotics. He serves as the Field Editor-in-Chief in Agriculture and Forestry for the MDPI journal Drones. His WoS H-index is 70 with 22k citations, Google Scholar citation is more than 46k with H-index 94, H10-index 560. Prof. Chen was in the 2018-2021 Highly Cited Researchers List by Clarivate. Professor Chen's vision on "Cognitive Process Control" since 2010 and his long-term collaboration with Lam Research (since 2012) lead to today's developments of several digital twin laboratory platforms at MESA Lab included in this monograph, UC Merced.
作者簡介(中文翻譯)
Dr. Jairo Viola 是一位電子工程師，擁有哥倫比亞布卡拉曼加的教宗博利瓦爾大學電子學碩士學位。他於2022年在加州大學默塞德分校的機電一體化、嵌入式系統與自動化實驗室（MESA Lab）獲得機械工程博士學位。在過去五年中，他在哥倫比亞布卡拉曼加的教宗博利瓦爾大學電子工程與計算機科學系擔任教授，教授程式設計、計算機架構和作業系統等課程。他的研究主題包括過程控制、機器人技術、人工智慧、數位雙胞胎、機器學習和大數據、邊緣計算以及工業過程的故障檢測和應用分數階微積分。
Dr. YangQuan Chen 是加州大學默塞德分校工程學院的全職教授。他曾於2000年至2012年在猶他州立大學的電氣與計算機工程系任教，擔任終身副教授，並於2004年至2012年擔任自組織與智能系統中心（CSOIS）的主任。Dr. Chen 發表了許多書籍、論文和專利。作為2014年、2017年、2019年和2023年無人機系統國際會議（ICUAS）的共同主席，Dr. Chen 在無人機研究及其在精準農業、環境監測和數位遺產中的應用方面非常活躍。他曾擔任多本期刊的編輯委員會成員，如 IEEE 控制系統技術期刊、ISA 期刊、IFAC 控制工程實踐期刊、ASME 動力系統、測量與控制期刊。目前，他擔任 IFAC 機電一體化、分數微積分與應用分析、非線性動力學以及 ASME 動力系統、測量與控制期刊的副編輯。他目前擔任《國際先進機器人系統期刊》（IJARS）和《智能服務機器人》的主題主編（領域機器人）。他還擔任 MDPI 期刊《無人機》的農業與林業領域主編。他的 WoS H 指數為 70，引用次數達 22,000 次，Google Scholar 的引用次數超過 46,000 次，H 指數為 94，H10 指數為 560。Chen 教授於2018-2021年被 Clarivate 列入高被引研究者名單。自2010年以來，Chen 教授對「認知過程控制」的願景以及與 Lam Research 的長期合作（自2012年起）促成了今天在 MESA Lab 開發的幾個數位雙胞胎實驗室平台，這些平台也包含在本專著中。
