食品与机械2024，Vol.40Issue(11)：74-80,7.DOI:10.13652/j.spjx.1003.5788.2024.80363
基于鲸鱼算法的BP-PID大米抛光机组控制系统优化
Optimization of the control system of BP-PID rice polishing unit based on WAO algorithm
摘要
Abstract
[Objective]Address the current issues of poor internal flow stability,low single-machine efficiency,and subpar polishing quality in rice polishing units.[Methods]Firstly,the traditional polishing machine was improved,its control parameters were clarified,and the mathematical model of the rice polishing unit was established.Then,the overall communication system of the unit was established,the working parameters of the unit were collected in real time,and the rice quality analyzer was introduced to detect the polishing quality indicators of the unit in real time.Built a database to store relevant data and participated in the optimization of the processing parameters of the unit.Finally,the parameters of the PID controller of the traditional unit were trained by the BP neural network,and the whale algorithm(WOA)was introduced to optimize the BP neural network to achieve fast and accurate control of the rice polishing unit.[Results]Compared with the traditional PID control unit,the overall fragmentation rate of the BP-PID controlled unit optimized by the WAO algorithm was reduced by about 2%,the control time was reduced by about 30%,and the temperature rise decreased by about 2℃at room temperature.[Conclusion]The control system can effectively complete the adjustment of the processing parameters of the unit and has a good control effect.关键词
大米抛光机组/品质分析仪/WOA/BP神经网络/PID控制Key words
rice polishing unit/quality analyzer/WOA/BP neural network/PID control引用本文复制引用
黄金良,周劲,喻伟..基于鲸鱼算法的BP-PID大米抛光机组控制系统优化[J].食品与机械,2024,40(11):74-80,7.基金项目
湖北省重点研发计划项目(编号:2023BBB110) （编号:2023BBB110）
