Objective:This paper proposed a genetic fuzzy PID cascade control system. Methods:Taking the outlet temperature as the main control quantity and the inlet temperature as the secondary controlled quantity, a cascade control system was made. The genetic fuzzy PID controller was used to control the main loop, and the PI controller was used to control the secondary loop. Results:Compared with conventional PID control, the cascade genetic fuzzy PID control had the advantages of shorter regulation time, better robustness. Conclusion:The genetic fuzzy PID cascade control system for soy flour spray drying tower can improve the quality of soy flour production.

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[1] 孔江龙,王元熠,陈国刚.红枣粉喷雾干燥加工工艺优化[J].食品工业科技,2018,39(18):162-169.KONG Jiang-long,WANG Yuan-yi,CHEN Guo-gang.Optimization of process for the jujube powder by spray drying[J].Science and Technology of Food Industry,2018,39(18):162-169.
[2] 苏和.数字PID控制在乳粉干燥自动化系统中的开发与应用[J].内蒙古石油化工,2006(12):124-126.SU He.A machine applications of arithmetic figure PID control in the milk automation that power is dry control[J].Inner Mongolia Petrochemical Industry,2006(12):124-126.
[3] 颜文旭,沈锦飞.基于PLC的模糊逻辑控制在喷雾干燥中的应用[J].电气动,2004(2):52-56.YAN Wen-xu,SHEN Jin-fei.Fuzzy controller applied in spraying dryer based on PLC[J].Electric Drive,2004(2):52-56.
[4] 任小洪,涂源钊.喷雾干燥塔计算机控制系统[J].微计算机信息,2003(6):14-15.REN Xiao-hong,TU Yuan-zhao.Spray drying plant computer control[J].Microcomputer Information,2003(6):14-15.
[5] TOSIN M C,BAGESTEIRO L B,BALBINOT A.Genetic algorithm application to feature selection in sEMG movement recognition with regularized extreme learning machine[C]//2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society(EMBC).United States:IEEE,2020:666-669.
[6] GE Quan-bo,YANG Qin-min,ZHUO Peng,et al.Genetic algorithm-based sensor allocation with nonlinear centralized fusion observable degree[J].IEEE Transactions on Neural Networks and Learning Systems,2019,30(12):3 665-3 673.
[7] SUN Ya-nan,XUE Bing,ZHANG Meng-jie,et al.Automatically designing CNN architectures using the genetic algorithm for image classification[J].IEEE Trans Cybern,2020,50(9):3 840-3 854.
[8] LIN Che-chern,LIU Zi-cheng,CHANG Chih-lin,et al.A genetic algorithm-based personalized remedial learning system for learning object-oriented concepts of java[J].IEEE Transactions on Education,2019,62(4):237-245.
[9] LIANG Zhen-hu,SHAO Shuai,LU Zhe,et al.Constructing a consciousness meter based on the combination of non-linear measurements and genetic algorithm-based support vector machine[J].IEEE Transactions on Neural Systems and Rehabilitation Engineering,2020,28(2):399-408.
[10] IQBAL Shahid,HALIM Zahid.Orienting conflicted graph edges using genetic algorithms to discover pathways in protein-protein interaction networks[J].IEEE/ACM Trans Comput Biol Bioinform,2020,1(16):1.
[11] MAMOUEI M,QASSEM M,BUDIDHA K,et al.A comparison of a genetic algorithm variable selection and interval partial least squares for quantitative analysis of lactate in PBS[C]//2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society.United States:IEEE,2019:3 239-3 242.
[12] JIMNEZ F U S,SÁNCHEZ M R,VILLANUEVA C J.Genetic algorithm based prefix partitioning for memory-efficient IPv4/6 lookup[J].IEEE Latin America Transactions,2019,7(11):1 823-1 830.
[13] 柳振宇,薛毓强,谢祖强.基于闭环和前馈控制的高速食品分拣机器人控制技术[J].食品与机械,2021,37(7):87-93.LIU Zhen-yu,XUE Yu-qiang,XIE Zu-qiang.Control technology of high speed food sorting robot based on closed loop and feed-forward control[J].Food & Machinery,2021,37(7):87-93.
[14] 江水,泉孙通.基于可见/近红外光谱和变量选择的脐橙可溶性固形物含量在线检测[J].食品与机械,2020,36(2):89-93.JIANG Shui,QUAN Sun-tong.Online detection of soluble solid content in navel orange based on visible/near infrared spectroscopy and variable selection[J].Food & Machinery,2020,36(2):89-93.
[15] 郝淼,陈勇,潘志刚,等.名优绿茶仿生采摘指研制[J].食品与机械,2018,34(10):86-90.HAO Miao,CHEN Yong,PAN Zhi-gang,et al.Development of a bionic plucking finger for high-quality green tea[J].Food & Machinery,2020,36(2):89-93.
[16] 徐涢基,肖城钢,李婷,等.串级PID算法在滚球控制系统中的应用[J].现代电子技术,2020,43(9):122-125.XU Jian-ji,XIAO Cheng-gang,LI Ting,et al.Application of cascade PID algorithm in ball rolling control system[J].Modern Electronic Technology,2020,43(9):122-125.
[17] 毕伟,谈横.串联型机械臂的自适应鲁棒容错控制研究[J].机床与液压,2020,48(5):63-67,72.BI Wei,TAN Heng.Research for adaptive robust fault-tolerant control of serial manipulators[J].Machine Tool and Hydraulics,2020,48(5):63-67,72.
[18] 祝维靖.锅炉主蒸汽温度多级智能控制系统方法改进研究[D].重庆:重庆大学,2017:7-14.ZHU Wei-jing.The improved research of multi-stage intelligent control system in boiler main steam temperature[D].Chongqing:Chongqing University,2017:7-14.
[19] 侯强,徐颖,田思庆.基于模糊PID的豆粉喷雾干燥塔监控系统设计[J].食品与机械,2019,35(12):108-112.HOU Qiang,XU Ying,TIAN Si-qing.Design of monitoring system for soybean powder spray drying tower based on fuzzy PID[J].Food & Machinery,2019(12):108-112.
[20] 任辉.基于S7-300 PLC螺旋藻生产的智能监控系统[D].天津:天津科技大学,2018:18-19.REN Hui.Intelligent monitoring system based on S7-300 PLC spirulina production[D].Tianjin:Tianjin University of Science and Technology,2018:18-19.
[21] 舒欣梅,王军.基于遗传算法的可调因子模糊PID控制器的设计[J].西华大学学报(自然科学版),2008,27(6):23-24,72,121.SHU Xin-mei,WANG Jun.Design of adjustable factor fuzzy PID controller based on genetic algorithm[J].Journal of Xihua University(Natural Science Edition),2008,27(6):23-24,72,121.
[22] 李萌,沈炯.基于自适应遗传算法的过热汽温PID参数优化控制仿真研究[J].中国电机工程学报,2002(8):146-150.LI Meng,SHEN Jiong.Simulation study of adaptive GA-based PID parameter optimization for the control of superheated steam temperature[J].Proceedings of the CSEE,2002(8):146-150.
[23] 张志文,王沛元,安柏楠,等.基于遗传算法PID的风电机组变桨控制[J].电力电子技术,2017,51(7):37-39,85.ZHANG Zhi-wen,WANG Pei-yuan,AN Bo-nan,et al.Variable pitch control of wind turbine generator based on genetic algorithm PID[J].Power Electronics Technology,2017,51(7):37-39,85.
[24] 杨润珊.基于改进遗传算法的生活用纸机干燥部能耗优化研究[D].西安:陕西科技大学,2018:33-40.YANG Run-shan.Study on energy consumption optimization of tissue machine drying section based on improved genetic algorithm[D].Xiʼan:Shaanxi University of Science and Technolo-gy,2018:33-40.
[25] 吴晓莉,张雷.遗传算法优化前馈PID控制电液系统研究[J].中国工程机械学报,2020,18(2):125-130.WU Xiao-li,ZHANG Lei.Optimization of feed-forward PID control electro-hydraulic system based on Genetic algorithm[J].Chinese Journal of construction Machinery,2020,18(2):125-130.
[26] 徐立娟,雷翔霄.基于遗传算法的热风回流焊温度控制系统设计[J].高技术通讯,2019,29(10):1 021-1 024.XU Li-juan,LEI Xiang-xiao.Design of temperature intelligent PID control system of reflow soldering machine based on genetic algorithm[J].High Technology Letters,2019,29(10):1 021-1 024.

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