Non-centralised control strategies for energy-efficient and flexible manufacturing systems |
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| Affiliation: | 1. College of Business Administration, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul, Republic of Korea;2. Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI, USA;1. Shenzhen Research Institute, State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;2. State Key Laboratory of Heavy Duty AC Drive Electric Locomotive Systems Integration, Zhuzhou, Hunan 412001, China;3. Department of Production Engineering, KTH Royal Institute of Technology, Stockholm 10044, Sweden;1. Technische Universität Berlin, Berlin, Germany;2. GT-ARC gemeinnützige GmbH, Berlin, Germany;1. Department of Computer Science, Vanderbilt University, Nashville, TN 37212, United States;2. Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24060, United States;1. Key Laboratory of Industrial Engineering and Intelligent Manufacturing, School of Mechanical Engineering, Northwestern Polytechnical University, Xi''an, Shaanxi, China;2. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore;3. Delta-NTU Corporate Laboratory for Cyber-Physical System, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore |
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| Abstract: | The manufacturing industry is transforming towards smart, energy-efficient, and flexible manufacturing systems. In this regard, this work deals with the design of non-centralised control architectures to improve the energy efficiency of such systems and to promote their flexibility. Based on both the configuration of manufacturing systems and their coupling dynamics, these systems are divided into sub-systems, from which smaller control problems can be stated. Thus, control/management strategies can also be modularised to confer more flexibility to manufacturing systems. Then, by using suitable distributed optimisation techniques, and properly defining the consensus stages among the local controllers, the outputs from such controllers are optimally coordinated to minimise the total energy consumption of the whole system. The proposed control strategies are tested in simulation for a typical process line of automotive parts manufacturing industry, in which the main processing units are machine tools. Based on the obtained results, manufacturing systems and their control strategies could be suitably modularised using non-centralised control schemes, from which a closed-loop performance similar to its centralised counterpart can be achieved. |
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| Keywords: | Flexible manufacturing systems Energy efficiency Real-time energy management Model predictive control Non-centralised control Distributed optimisation |
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