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  • 中国标准连:ISSN1005-2895
  • 续出版物号: CN 33-1180/TH
  • 主管单位:轻工业杭州机电设计研究院有限公司
  • 主办单位:轻工业杭州机电设计研究院有限公司、中国轻工机械协会、中国轻工业机械总公司
  • 社  长:刘安江
  • 主  编:黄丽珍
  • 地  址:杭州市余杭区高教路970号西溪联合科技广场4-711
  • 电子邮件:qgjxzz@126.com
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吴永兴, 期俊星雨, 高宇雷, 杨耀晶, 周晓龙.基于组合迟滞调节PID的薄板烘丝控制系统设计与参数优化[J].轻工机械,2024,42(5):59-65
基于组合迟滞调节PID的薄板烘丝控制系统设计与参数优化
Design and Parameter Optimization of Thin Plate Drying Control System Based on Combined Latency Compensation PID Algorithm
  
DOI:10.3969/j.issn.1005 2895.2024.05.008
中文关键词:  烟草机械  薄板烘丝  灰色系统  迟滞调节PID  混沌生物地理学优化
英文关键词:tobacco machinery  thin plate drying  grey system  latency compensation PID  CBBO(chaotic biogeography based optimization)
基金项目:云南中烟工业有限责任公司重点科技项目:基于工业大数据分析的中试制丝线智能控制研究(2021XX04)。
作者单位
吴永兴, 期俊星雨, 高宇雷, 杨耀晶, 周晓龙 红塔烟草(集团)有限责任公司玉溪卷烟厂 云南 玉溪653100 
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中文摘要:
      为克服传统薄板烘丝控制方法存在的温度阶跃响应曲线超调量较大、控制能力差等问题,笔者提出了一种基于组合迟滞调节PID算法的控制系统设计以及参数优化方法。该方法基于生产过程中的多输入多输出时间序列数据,利用灰色模型对薄板烘丝机的状态变量进行预测;在此基础上,以预测模型所得到的系统状态变量作为输入,设计针对各工艺参数的迟滞调节PID控制器,并组合形成控制系统;同时,采用混沌生物地理学优化(chaotic biogeography based optimization,CBBO)算法对各控制器的参数进行优化。实验结果表明:所述灰色模型在预测薄板烘丝机状态时准确性较高,且预测误差较小,将薄板烘丝机排潮风温度控制的上升时间降低至38 s,排潮风温度能迅速调节至设定温度附近,且控制过程中的超调幅度更小、稳定时间更短。该组合迟滞调节PID算法能够实现对薄板烘丝机快速、低超调、高效率的运行控制,具有一定的实用性。
英文摘要:
      In order to overcome the problems of large step response overshoot and poor control ability of temperature in traditional thin plate drying control process, a control system based on combined latency compensation PID algorithm and parameter optimization method were proposed. Based on multi input and multi output time series data of the production process, grey model was used to predict state variables of the rotary drying machine. Then system state variables obtained from the predictive model were used as inputs to design the latency compensation PID controller for each parameter, and the control system were combined to form. Meanwhile, chaotic biogeography based optimization algorithm was used to optimize the parameters of sub controller.The experimental results show that the grey model has a higher accuracy and smaller prediction error in the state prediction of thin plate dryer. The rise time for controlling the exhaust air temperature of is as low as about 38 s, and the exhaust air temperature can be quickly adjusted to the set temperature. Moreover, the overshoot of the control process is smaller and the stability time is shorter. The proposed combined latency compensation PID controller can achieve fast, low overshoot, and high efficiency operation control of thin plate dryer, and has strong practicality.
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