Data-driven modeling and real-time distributed control for energy efficient manufacturing systems

被引：50
|
作者：
Zou, Jing [1 ]
Chang, Qing [1 ]
Arinez, Jorge [2 ]
Xiao, Guoxian [2 ]
机构：
[1] SUNY Stony Brook, Dept Mech Engn, Stony Brook, NY 11794 USA
[2] Gen Motors Corp, Gen Motors R&D, Warren, MI 48090 USA
来源：
ENERGY | 2017年 / 127卷
基金：
美国国家科学基金会;
关键词：
Energy control methodology; Data-driven modeling; Manufacturing system diagnosis and prognosis; Feedback control; Distributed control; Energy profit optimization; MANAGEMENT; INDUSTRY; DESIGN;
D O I：
10.1016/j.energy.2017.03.123
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
As manufacturers face the challenges of increasing global competition and energy saving requirements, it is imperative to seek out opportunities to reduce energy waste and overall cost. In this paper, a novel data-driven stochastic manufacturing system modeling method is proposed to identify and predict energy saving opportunities and their impact on production. A real-time distributed feedback production control policy, which integrates the current and predicted system performance, is established to improve the overall profit and energy efficiency. A case study is presented to demonstrate the effectiveness of the proposed control policy. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码：247 / 257
页数：11
相关论文
共 50 条
  • [1] Data-Driven Modeling and Analysis of Energy Efficiency of Geographically Distributed Manufacturing
    Amini-Rankouhi, Aida
    Smith, Sawyer
    Akgun, Halit
    Huang, Yinlun
    [J]. SMART AND SUSTAINABLE MANUFACTURING SYSTEMS, 2018, 2 (02): : 154 - 176
  • [2] Data-Driven Design of Control Strategies for Distributed Energy Systems
    Odonkor, Philip
    Lewis, Kemper
    [J]. JOURNAL OF MECHANICAL DESIGN, 2019, 141 (11)
  • [3] An Efficient Control-Driven Period Optimization Algorithm for Distributed Real-Time Systems
    Deng, Peng
    Zhu, Qi
    Davare, Abhijit
    Mourikis, Anastasios
    Liu, Xue
    Di Natale, Marco
    [J]. IEEE TRANSACTIONS ON COMPUTERS, 2016, 65 (12) : 3552 - 3566
  • [4] Towards Data-Driven Real-Time Hybrid Simulation: Adaptive Modeling of Control Plants
    Simpson, Thomas
    Dertimanis, Vasilis K.
    Chatzi, Eleni N.
    [J]. FRONTIERS IN BUILT ENVIRONMENT, 2020, 6
  • [5] Design and evaluation of real-time distributed manufacturing control systems
    Agent Oriented Software Limited, Mill Lane, Cambridge CB2 1RX, United Kingdom
    不详
    [J]. Int. J. Manuf. Technol. Manage, 2006, 1-3 (264-282):
  • [6] Automated Spatiotemporal Modeling for Real-Time Data-Driven Actionable Insights
    Latapie, Hugo
    Gabriel, Mina
    Srinivasan, Sidarth
    Kompella, Ramana
    Thorisson, Kristinn R.
    Wang, Pei
    [J]. INTELLIGENT SYSTEMS AND APPLICATIONS, VOL 1, INTELLISYS 2023, 2024, 822 : 780 - 798
  • [7] Modeling of Li-ion batteries for real-time analysis and control: A data-driven approach
    Ahmadzadeh, Omidreza
    Rodriguez, Renato
    Soudbakhsh, Damoon
    [J]. 2022 AMERICAN CONTROL CONFERENCE, ACC, 2022, : 392 - 397
  • [8] A real-time data-driven collaborative mechanism in fixed-position assembly systems for smart manufacturing
    Qian, Cheng
    Zhang, Yingfeng
    Jiang, Chen
    Pan, Shenle
    Rong, Yiming
    [J]. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2020, 61
  • [9] The efficient QoS control in distributed real-time embedded systems
    Yuan, YW
    Yan, LM
    Guo, QP
    [J]. EMBEDDED SOFTWARE AND SYSTEMS, 2005, 3605 : 508 - 513
  • [10] Performance of real-time distributed arrival time control in heterarchical manufacturing systems
    Prabhu, VV
    [J]. IIE TRANSACTIONS, 2000, 32 (04) : 323 - 331
12345