Development of a SMART-system for a Complex Industrial Object Control based on Metaheuristic Algorithms of Swarm Intelligence

Abstract

The article is devoted to the synthesis of a SMART-system for a complex industrial object control based on metaheuristic optimization algorithms and modern industrial equipment from Honeywell Company. There has been developed software for collecting industrial data, automated tuning of typical controllers of a MIMO industrial object based on such intelligent optimization algorithms as ant colony algorithm, grey wolf optimization, dragonfly algorithm and cuckoo search algorithm. These algorithms are used to minimize the developed new modified quality criteria of a MIMO industrial object. The results are integrated into the Honeywell Experion PKS distributed control system for technological process control in the oil and gas industry using a distillation column for purifying gas from impurities as an example. On the basis of the decoupling procedure, the problem of compensating for the influence of the MIMO system interconnections is solved. The paper substantiates the effectiveness of the implementation of the developed SMART-system for solving the problems of optimal complex technological production control in the oil and gas industry on the example of the real production process of the TengizChevroil enterprise.