• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2023, Vol. 59 ›› Issue (7): 252-264.doi: 10.3901/JME.2023.07.252

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Production Disturbances Recognition Model and Adaptive Energy-saving Control Method of Discrete Manufacturing Unit

WEN Xuanhao1, CAO Huajun1, LI Hongcheng2, GE Weiwei1, HUANG Zixuan1   

  1. 1. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044;
    2. School of Advanced Manufacturing Engineering, Chongqing University of Posts and Telecommunication, Chongqing 400044
  • Received:2022-05-17 Revised:2022-12-05 Online:2023-04-05 Published:2023-06-16

Abstract: The production disturbances of discrete manufacturing unit are the root-cause of interrupting production and causing energy waste. How to realize the adaptive selection of energy-saving control policies and adaptive optimization of control parameters for optimal energy-saving control effect of discrete manufacturing unit under a complex and dynamic disturbance environment is a pressing problem to be solved. Toward this end, an adaptive energy-saving control method of discrete manufacturing unit based on production disturbances recognition model is proposed. First, based on the patternedness and uncertainty of production disturbances, a Markov Logic network driven production disturbances recognition model is established for accurate recognition of production disturbances. Following, with energy waste expectation as the optimization objective and production delay time expectation as the optimization constraint, two time-threshold based equipment energy-saving control policies are built, based on which a production disturbances-oriented adaptive energy-saving control method is proposed. Finally, a case validation is carried out on a die-casting unit. The results indicate that the type of production disturbances can significantly influence the energy-saving control effect, and the proposed method improves the energy-saving effect by enhancing the adaptive ability of energy-saving control on the premise of ensuring production.

Key words: discrete manufacturing unit, production disturbance, recognition model, adaptive control, energy saving

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