Open AccessProcess control system based on a fuzzy controller
Author(s) -
E. A. Muravyova,
Y. V. Stolpovskaya
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1515/2/022010
Subject(s) - electrolytic process , electrolysis , controller (irrigation) , control theory (sociology) , process (computing) , control system , diaphragm (acoustics) , process control , computer science , fuzzy control system , control engineering , process engineering , engineering , electrolyte , fuzzy logic , control (management) , chemistry , electrode , electrical engineering , artificial intelligence , loudspeaker , agronomy , biology , operating system
The object for the control system is an electrolysis plant for the production of chlorine, hydrogen and electrolytic alkali by the method of diaphragm electrolysis. It is necessary to develop an improved system for controlling the process of diaphragm electrolysis. To create a control system for the electrolysis process, a fuzzy controller with the following output parameters was developed: the percentage of opening of the electromagnetic valve for supplying NaCl solution to the electrolyzer, the percentage of opening of the actuator for supplying asbestos suspension, the percentage of opening of the control valve for draining NaCl solution through a special device, voltage value. Control output parameters control input parameters: anolyte level and caustic concentration. Controlling of the output parameters is based on the information received from the input sensors of the concentration of caustic and the level of anolyte. The control algorithm modeling is performed in the Matlab package. The programming of the Modicon M340 controller and its connection is made using the Unity Pro CASE system. An automated workstation for controlling the electrolysis process is performed in the Vijeo Citect SCADA system. The introduction of a multidimensional automated control system that controls the entire electrolysis process allowed us to solve the problem posed: optimal control of the process output parameters.