Industrial Objects Control with Generation of Predictive Component on PID-controller

Yu.R. Vladov, Dr. Sci. (Eng.), Laboratory Head, Orenburg Scientific Center UrO RAN, Orenburg, Russia A.Yu. Vladova, Dr. Sci. (Eng.), Lead Researcher IPU RAN, Moscow, Russia


The methods of technological objects automatic control are considered in the article. Technological objects with the workflow starting with the process parameters overclocking is the preferential field of application. The goal is to expand the functionality of the feasibility of proportional-integral-differentiating controllers (PID-controllers) by introducing the predictive component at the generation of controlling action. In the first stage of the workflow the process time values are measured, considering which the value of transport lag and constant time is calculated. In subsequent stages the discreteness is found, and the prediction deviations of the technological parameter are determined. Then, the controlling action is generated on PID-controller by algebraical supplement of the predictive component. Each time after reaching the prediction time, the process of controlling action generation is resumed. The proposed methods are effective for large industrial facilities and complexes in oil and gas industry and machine building. Using PID-controller with the predictive component significantly improves the quality of control, reduces the deviation of the regulated parameter from the set value, which contributes to the significant increase in energy saving and efficiency of automated process units.


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DOI: 10.24000/0409-2961-2018-3-22-28
Year: 2018
Issue num: March
Keywords : predictive component controlling action PID-controller workflow automatic control system gas treatment reactor
  • Vladova A.Yu.
    Vladova A.Yu.
    Dr. Sci. (Eng.), Lead Researcher ICS RAS, Moscow, Russia Prof. Financial University under the Government of the Russian Federation, Moscow, Russia
  • Vladov Yu.R.
    Vladov Yu.R., Dr. Sci. (Eng.), Prof., Laboratory Head OFRC UrO RAN, Orenburg, Russia Lead Researcher NOTs, Orenburg State University, Orenburg, Russia