离散制造单元生产扰动识别模型及其自适应节能控制方法

doi:10.3901/JME.2023.07.252

机械工程学报 ›› 2023, Vol. 59 ›› Issue (7): 252-264.doi: 10.3901/JME.2023.07.252

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离散制造单元生产扰动识别模型及其自适应节能控制方法

文旋豪¹, 曹华军¹, 李洪丞², 葛威威¹, 黄子轩¹

1. 重庆大学机械传动国家重点实验室重庆 400044;
2. 重庆邮电大学先进制造工程学院重庆 400044

收稿日期:2022-05-17 修回日期:2022-12-05 出版日期:2023-04-05 发布日期:2023-06-16
通讯作者: 曹华军(通信作者),男,1978年出生,博士,教授,博士研究生导师。主要研究方向为绿色制造。E-mail:hjcao@cqu.edu.cn
作者简介:文旋豪,男,1993年出生,博士研究生。主要研究方向为低碳制造、制造系统能效等。E-mail:201807021082@cqu.edu.cn;李洪丞,男,1984年出生,博士,副教授。主要研究方向为智能制造、低碳制造等。E-mail:lihc@cqupt.edu.cn;葛威威,男,1994年出生,博士研究生。主要研究方向为低碳激光制造系统等。E-mail:geww@cqu.edu.cn;黄子轩,男,1999年出生,硕士研究生。主要研究方向为低碳制造系统。E-mail:202107131130t@cqu.edu.cn
基金资助:
国家自然科学基金(51975076)和重庆市研究生科研创新(CYB21008)

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. 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

摘要/Abstract

摘要： 离散制造单元的生产扰动是中断设备生产、造成能耗浪费的源头，如何在复杂动态的扰动环境下实现设备节能控制策略的自适应选择和控制参数的自适应优化从而达到最优的节能控制效果是一个亟待解决的难题，为此提出了基于生产扰动识别模型的离散制造单元自适应节能控制方法。首先，基于生产扰动的模式性和不确定性，构建了一种马尔科夫逻辑网络驱动的生产扰动识别模型，实现生产扰动的精准识别。然后，以能耗浪费期望为优化目标，生产延迟时间期望为优化约束，制定了基于时间阈值的设备节能控制策略，提出了面向生产扰动自适应的节能控制方法。最后，以某压铸单元为对象进行了案例验证，结果表明生产扰动类型会对节能控制效果造成显著影响，所提出方法在尽量保证生产的前提下通过提升节能控制的自适应能力实现了更好的节能效果。

关键词: 离散制造单元, 生产扰动, 识别模型, 自适应控制, 节能

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

中图分类号:

TH165

文旋豪, 曹华军, 李洪丞, 葛威威, 黄子轩. 离散制造单元生产扰动识别模型及其自适应节能控制方法[J]. 机械工程学报, 2023, 59(7): 252-264.

WEN Xuanhao, CAO Huajun, LI Hongcheng, GE Weiwei, HUANG Zixuan. Production Disturbances Recognition Model and Adaptive Energy-saving Control Method of Discrete Manufacturing Unit[J]. Journal of Mechanical Engineering, 2023, 59(7): 252-264.

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离散制造单元生产扰动识别模型及其自适应节能控制方法

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

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