CPS: Frontier: Collaborative Research: Data-Driven Cyberphysical Systems

CPS：前沿：协作研究：数据驱动的网络物理系统

• 批准号: 1645648
• 负责人: Sandipan Mishra
• 金额: $ 38万
• 依托单位: Rensselaer Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-10-01 至 2021-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1645648&HistoricalAwards=false
• 关键词: CPS; Frontier; Collaborative; Research; Data

Data-driven cyber-physical systems are ubiquitous in many sectors including manufacturing, automotive, transportation, utilities and health care. This project develops the theory, methods and tools necessary to answer the central question "how can we, in a data-rich world, design and operate cyber-physical systems differently?" The resulting data-driven techniques will transform the design and operation process into one in which data and models - and human designers and operators - continuously and fluently interact. This integrated view promises capabilities beyond its parts. Explicitly integrating data will lead to more efficient decision-making and help reduce the gap from model-based design to system deployment. Furthermore, it will blend design- and run-time tasks, and help develop cyber-physical systems not only for their initial deployment but also for their lifetime.While proposed theory, methods and tools will cut across the spectrum of cyber-physical systems, the project focuses on their implications in the emerging application of additive manufacturing. Even though a substantial amount of engineering time is spent, additive manufacturing processes often fail to produce acceptable geometric, material or electro-mechanical properties. Currently, there is no mechanism for predicting and correcting these systematic, repetitive errors nor to adapt the design process to encompass the peculiarities of this manufacturing style. A data-driven cyber-physical systems perspective has the potential to overcome these challenges in additive manufacturing. The project's education plan focuses on the already much needed transformation of the undergraduate and graduate curricula to train engineers and computer scientists who will create the next-generation of cyber-physical with a data-driven mindset. The team will reach out to K-12 students and educators through a range of activities, and to undergraduate students from underrepresented groups through year-long research projects. All educational material generated by the project will be shared publicly.

数据驱动的网络物理系统在许多领域都无处不在，包括制造，汽车，运输，公用事业和医疗保健。该项目开发了回答主要问题所需的理论，方法和工具：“在数据丰富的世界中，如何设计和操作网络物理系统不同？”由此产生的数据驱动技术将将设计和操作过程转换为一个数据和模型以及人类设计师和运营商的连续而流利的互动。这种集成的观点承诺超出其各个部分的功能。明确整合数据将导致更有效的决策，并有助于减少从基于模型的设计到系统部署的差距。此外，它将融合设计和运行时任务，并有助于开发网络物理系统，不仅是针对其初始部署的，而且还为其一生而言。拟议的理论，方法和工具将削减网络物理系统的范围，但该项目侧重于它们在新兴加成生产的应用中的含义。即使花费了大量的工程时间，添加剂制造过程通常无法产生可接受的几何，材料或电力机械性能。当前，尚无预测和纠正这些系统的，重复性错误的机制，也没有适应设计过程以涵盖这种制造方式的特殊性。数据驱动的网络物理系统的观点有可能克服这些添加剂制造中的这些挑战。该项目的教育计划着重于本科生和研究生课程已经急需的转变，以培训工程师和计算机科学家，他们将使用数据驱动的心态来创建下一代网络物理。该团队将通过一系列活动与K-12学生和教育工作者接触，并通过长达一年的研究项目与来自代表性不足的小组的本科生接触。该项目产生的所有教育材料都将公开共享。

项目成果

Iterative learning control for power profile shaping in selective laser melting

选择性激光熔化功率分布整形的迭代学习控制

• DOI: 10.1109/coase.2019.8843070
• 发表时间: 2019
• 期刊: 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE
• 作者: Shkoruta, Aleksandr;Caynoski, William;Mishra, Sandipan;Rock, Stephen
• 通讯作者: Rock, Stephen

Distributed Model Predictive Control for Ink-Jet 3D Printing

• DOI: 10.1109/aim.2017.8014056
• 发表时间: 2017-01-01
• 期刊: 2017 IEEE INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM)
• 作者: Guo, Yijie;Peters, Joost;Mishra, Sandipan
• 通讯作者: Mishra, Sandipan

Real-Time Image-Based Feedback Control of Laser Powder Bed Fusion

激光粉床熔合的实时基于图像的反馈控制

• DOI: 10.1115/1.4051588
• 发表时间: 2022
• 期刊: ASME Letters in Dynamic Systems and Control
• 作者: Shkoruta, Aleksandr;Mishra, Sandipan;Rock, Stephen J.
• 通讯作者: Rock, Stephen J.

An experimental study on process modeling for selective laser melting *

选择性激光熔化过程建模的实验研究*

• DOI: 10.23919/acc45564.2020.9147644
• 发表时间: 2020
• 期刊: American Control Conference
• 作者: Shkoruta, Aleksandr;Mishra, Sandipan;Rock, Stephen
• 通讯作者: Rock, Stephen

Layer-to-Layer Predictive Control of Inkjet 3-D Printing

• DOI: 10.1109/tmech.2020.2999873
• 发表时间: 2020-08-01
• 期刊: IEEE-ASME TRANSACTIONS ON MECHATRONICS
• 影响因子: 6.4
• 作者: Inyang-Udoh, Uduak;Guo, Yijie;Mishra, Sandipan
• 通讯作者: Mishra, Sandipan