Abstract
The article discusses a synthesis algorithm for objects with identification and parameter tuning. The algorithm is made on the basis of software and is tested for the formation of control effects in distillation column control circuit used in oil and gas processing production. It is shown that the control method suggested for a distillation column is not less effective in comparison with a control method that pre-tuned a preset proportional and integral differential controller. The suggested controller parameter tuning is not required and is made as the mentioned algorithm functions. Moreover, in the article it is possible to find the research results of testing in conditions of various level noise, control limitations, and controlled object parameter shift.
Highlights
Effective oil and gas production implies high requirements to the system of production technological processes
Discussed adaptive algorithm possesses a number of characteristics that allow ensuring effective model parameter tuning in order to identify reasonable values of control actions considering the equipment parameter changing
Mentioned parameter changes is highly typical for the equipment of oil-refining production, as well as other oil and gas production types, considering its physical and chemical processes
Summary
Effective oil and gas production implies high requirements to the system of production technological processes. For the purpose of the discussed task, an average value of control error (shift from the desired trajectory) for the suggested adaptive algorithm is 0.97–1.02 in comparison with the error of earlier pre-tuned PID controller, which may be considered acceptable considering that preliminary identification of the object controlled by PID controller is required when each of the parameters changes. 3.2 Experiments under conditions of different shapes of desired trajectories The dependence of system output shift x from the set trajectory x * on the share of the desired trajectory was explored 3.4 Experiments under conditions of different interval of control input The research of dependence of system output shift x from the set trajectory x * on proximity of the model’s start parameter values to the real object parameters.
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