Application of PLC Fuzzy PID Control System to Medium Fermentation Temperature Control

  • LI Wenhua ,
  • LIU Jianghong
  • College of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, China

Received date: 2014-06-05

  Revised date: 2014-09-15

  Online published: 2014-11-27


This paper aims to solve the problems of the existence of secondary fermentation medium low yield, the poor product identity, the low level of automation, the high energy consumption and many other urgent problems, as well as the complexity of the secondary fermentation medium temperature control inside the tunnel by proposing a computer control system based on PLC, with the computer data acquisition and the real-time control of fermentation process. Fuzzy PID control algorithm is adopted in the system, the fuzzy controller and PID adjustor are realized by PLC, which not only has the agile, reliable peculiarity and the ability of antijamming of a PLC control system, but also improves considerably the intelligence level and the control precision of the control system. The practice results show that the system can effectively control the secondary fermentation medium temperature inside the tunnel, greatly improve the level of automation, and the quality of the products, reduce the labor intensity and the human losses and costs, reduce the energy consumption, with good economic and social benefits.

Key words: medium; fermentation; PLC; fuzzy PID

Cite this article

LI Wenhua , LIU Jianghong . Application of PLC Fuzzy PID Control System to Medium Fermentation Temperature Control[J]. Science & Technology Review, 2014 , 32(32) : 41 -45 . DOI: 10.3981/j.issn.1000-7857.2014.32.007


[1] 刘北平. 食品与发酵工业中的计算机应用技术[M]. 广州: 华南理工大 学出版社, 1999: 14-44. Liu Beiping. Computer application technology in food and fermentation industry[M]. Guangzhou: South China University of Technology Press, 1999: 14-44.
[2] 戴星, 谢守勇, 何炳辉, 等. 基于PLC的温室控制系统的研究[J]. 农机 化研究, 2007(1): 129-132. Dai Xing, Xie Shouyong, He Binghui, et al. Study of the greenhouse control system based on PLC[J]. Agricultural Mechanization Research, 2007(1): 129-132.
[3] 陈水生, 孟庆建. 基于PLC的温度PID-模糊控制系统设计与仿真[J]. 农机化研究, 2011, 33(6): 49-53. Chen Shuisheng, Meng Qingjian. Based on PLC temperature PID-fuzzy control system design and simulation[J]. Agricultural Mechanization Research, 2011, 33(6): 49-53.
[4] 狄轶娟, 陈照章, 朱湘临, 等. 基于模糊PID控制的生物发酵温度过程 控制系统[J]. 自动化仪表, 2006, 27(8): 43-44, 47. Di Yijuan, Chen Zhaozhang, Zhu Xianglin, et al. Biology fermentation temperature control system based on fuzzy-PID control[J]. Process Automation Instrumentation, 2006, 27(8): 43-44, 47.
[5] 王秀清, 李淑清, 严新忠, 等. 发酵过程PLC控制系统的研究[J]. 天津 科技大学学报, 2004, 19(1): 32-35. Wang Xiuqing, Li Shuqing, Yan Xinzhong, et al. Study of PLC control system for fermentation process[J]. Journal of Tianjin University of Science and Technology, 2004, 19(1): 32-35.
[6] Shen J, Chen L J. Automatic tuning of PID controllers in the thermal power unit load control system[J]. Journal of Southeast University, 1993, 9(2): 79-86.
[7] Astrom K J. Towards intelligent PID control[J]. Automatica, 1992, 28 (1): 1-9.
[8] 孙增圻. 模糊自适应控制理论及其应用[M]. 北京: 北京航空航天大学 出版社, 2002: 103-109. Sun Zengqi. Theory and application of fuzzy self-adaptation control[M]. Beijing: Beihang University Press, 2002: 103-109.
[9] 王吉龙. 基于模糊PID的温度控制系统[J]. 电子工程师, 2008, 34(5): 77-80. Wang Jilong. Temperature control system based on fuzzy-PID[J]. Electronic Engineer, 2008, 34(5): 77-80.
[10] 王庆祝, 陈攀峰, 马玉泉, 等. 新型高精度温湿度检测箱及其测控系 统研制[J]. 农业工程学报, 2011, 27(2): 203-207. Wang Qingzhu, Chen Panfeng, Ma Yuquan, et al. Development of high-precision temperature and humidity testing cabinet and its measure and control system[J]. Transactions of the CSAE, 2011, 27(2): 203-207.
[11] Zhuang M, Atherton D P. Automatic tuning of optimum PID controllers[J]. IEE Proceedings-Part D: Control Theory and Applications, 1993, 140(3): 14-20.
[12] 肖应旺, 徐保国. PLC在发酵温度复合模糊控制系统中的应用[J]. 电 气自动化, 2005, 27(5): 67-69. Xiao Yingwang, Xu Baoguo. Application of PLC in compound fuzzy control system of fermentation temperature[J]. Electrical Automation, 2005, 27(5): 67-69.
[13] Tanaka K, Sugeno M. Stability analysis and design of fuzz control systems[J]. Fuzzy Sets and Systems, 1992(45): 135-136.
[14] Ordonez R, Passino K M. Stable multi-input multi-output adaptive fuzzy/neural control[J]. IEEE Transactions on Fuzz Systems, 1999(7): 345-353.
[15] 王志凯, 郭宗仁, 李琰. 用PLC实现模糊控制的两种设计方法[J]. 中 国仪器仪表, 2002, 17(1): 4-6. Wang Zhikai, Guo Zongren, Li Yan. Two PLC design way of realizing fuzzy control[J]. China Instrument, 2002, 17(1): 4-6.
[16] 王泳, 赵春晖. PID算法在S7系列PLC控制中的实现[J]. 黑龙江科技 信息, 2013(31): 121-122. Wang Yong, Zhao Chunhui. Implementation of PID algorithm in the S7 series PLC control[J]. Heilongjiang Science and Technology Information, 2013(31): 121-122.