考虑待机能耗的串行生产线模糊控制优化研究
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摘要
为了减少串行生产线上机器在饥饿或堵塞状态下的待机耗能,提出了对机器进行模糊控制启、停的节能方法.在不影响生产线产量的前提下,模糊控制器利用被控制机器上、下游缓存区的实时容量数据,确定该机器的最大节能停机时长,并通过遗传算法,以最大停机节能时长为目标函数,对模糊控制器的隶属函数进行优化,提高了模糊控制器的节能性能.仿真模型试验结果表明,相对于原始生产线,在运用经过优化的模糊控制器的串行生产线上,待机能耗降低达27.35%,并且生产线产量未受影响.
In order to reduce the energy consumption of the machines in the state of starvation or blockage on the serial production line, an energy-saving method based on fuzzy control is proposed. The fuzzy controller uses the data of the real-time capacity of the upper and lower buffer of the controlled machine to determine the maximum energy-saving downtime of the machine, on the premise of not affecting the output. The energysaving performance of the fuzzy controller is improved by optimizing the membership function of the fuzzy controller by genetic algorithm. The experiment by simulation modeling indicates that in the serial production line with optimized fuzzy controller, the standby energy consumption is reduced by 27.35% compared with the original production line, with no influence on the output of the production line.
In order to reduce the energy consumption of the machines in the state of starvation or blockage on the serial production line, an energy-saving method based on fuzzy control is proposed. The fuzzy controller uses the data of the real-time capacity of the upper and lower buffer of the controlled machine to determine the maximum energy-saving downtime of the machine, on the premise of not affecting the output. The energysaving performance of the fuzzy controller is improved by optimizing the membership function of the fuzzy controller by genetic algorithm. The experiment by simulation modeling indicates that in the serial production line with optimized fuzzy controller, the standby energy consumption is reduced by 27.35% compared with the original production line, with no influence on the output of the production line.
引文
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[16]赵刚,张九根,杨珊珊,等.基于改进遗传算法的模糊温度控制在空调中的应用[J].科技通报,2017,33(8):156-161.
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[3]Buzacott J A,Shanthikumar J G.Stochastic Models of Manufacturing Systems[M].Upper Saddle River:Prentice Hall,1993:145-148.
[4]万松.串行生产线设备能耗状态建模与能效分析研究[D].重庆:重庆大学,2015.
[5]张新诚,贾敏忠,李小水.基于标准样件的机床能耗分析与加工生产线优化[J].福建工程学院学报,2017,15(3):247-252.
[6]Chang Q,Xiao G,Biller S,et al.Energy saving opportunity analysis of automotive serial production systems[J].IEEE Transactions on Automation Science&Engineering,2013,10(2):334-342.
[7]Chang Q,Biller S,Xiao G,et al.Transient analysis of downtimes and bottleneck dynamics in serial manufacturing systems[J].Journal of Manufacturing Science&Engineering,2010,132(5):635-645.
[8]Brundage M P,Chang Q,Li Y,et al.Energy efficiency management of an integrated serial production line and HVAC system[J].IEEE Transactions on Automation Science&Engineering,2014,11(3):789-797.
[9]Brundage M P,Chang Q,Zou J,et al.Energy economics in the manufacturing industry:A return on investment strategy[J].Energy,2015,93:1426-1435.
[10]Brundage M P,Chang Q,Li Y,et al.Utilizing energy opportunity windows and energy profit bottlenecks to reduce energy consumption per part for a serial production line[C]//IEEE International Conference on Automation Science and Engineering,2014:461-466.
[11]周炳海,苏谊.基于可变缓冲区存储量的串行生产线节能分析[J].哈尔滨工程大学学报,2016,37(6):832-836.
[12]Chen G,Zhang L,Arinez J,et al.Feedback control of machine startup for energy-efficient manufacturing in Bernoulli serial lines[C]//IEEE International Conference on Automation Science and Engineering,2011:666-671.
[13]Li L,Sun Z.Dynamic energy control for energy efficiency improvement of sustainable manufacturing systems using Markov decision process[J].IEEETransactions on Systems,Man and Cybernetics:Systems,2013,43(5):1195-1205.
[14]Sharma S.Application of fuzzy techniques in a multistage manufacturing system[J].International Journal of Advanced Manufacturing Technology,2012,60(1/4):397-407.
[15]莫巨华,黄敏,王兴伟.串行饱和生产线模糊控制方法的研究[J].控制工程,2007,14(1):34-36.
[16]赵刚,张九根,杨珊珊,等.基于改进遗传算法的模糊温度控制在空调中的应用[J].科技通报,2017,33(8):156-161.
[17]Conway R,Maxwell W,McClain J O,et al.The role of work-in-process inventory in serial production lines[J].Operations Research,1988,36(2):229-241.
[18]疏松桂.带有缓冲库的综合制造系统(CIMS)分析及其可靠性的研究[J].自动化学报,2000,18(1):15-22.