首页> 外文期刊>Journal of Theoretical and Applied Information Technology >FORMULATION AND SOLUTION TO CONTROL PROBLEMS OF OPERATION MODES IN DELAYED COKING UNIT IN FUZZY ENVIRONMENT BASED ON THE HEURISTIC METHOD
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FORMULATION AND SOLUTION TO CONTROL PROBLEMS OF OPERATION MODES IN DELAYED COKING UNIT IN FUZZY ENVIRONMENT BASED ON THE HEURISTIC METHOD

机译:基于启发式方法的模糊环境下延迟焦化机组运行模式控制问题的公式化与求解

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This paper presents a formulation to the optimal control problems of operation modes for technological systems in the fuzzy environment and proposes a heuristic approach for solutions to the introduced problems. For the purposes of formalization and mathematical problem formulation, we employ methods of fuzzy set theory and various compromise schemes, methods of multi-criteria selection and optimality principles. By modifying and adapting the methods of main criteria, maximin and the principle of Pareto optimality, new formulations to the optimal control problems are obtained and effective heuristic methods for their solutions are developed. The uniqueness and novelty of the proposed approach to solving the control problems of operation modes in the fuzzy environment provides more efficient solutions without prior conversions of a fuzzy problem into an equivalent deterministic problem, i.e. maximizes the use of initial fuzzy information. This is justified by the fact that, in contrast to well-known approaches, problems are set in a fuzzy environment without replacing them with equivalent deterministic tasks, and they are solved using the original fuzzy information. The authors' research contribution refers to the fact that for the first time mathematical formulations of optimization problems are formulated during the control of operation modes for a delayed coking unit (DCU), and heuristic methods for the problems are developed based on various optimality principles (main criterion, maximin and Pareto optimality). Moreover, the developed method based on maximin and Pareto optimality are employed in solving the problem of controlling the operation modes for delayed coking unit of the Atyrau Oil Refinery (AOR). We present and analyze the results of applying the proposed heuristic method-based maxi-min method and Pareto optimality principle, considering possible concessions during solving the problem of decision-making on the optimal control of operating modes for the delayed coking unit in Atyrau Oil Refinery, which works in the fuzzy environment. The obtained results of applying heuristic methods show the effectiveness of the proposed method for solving the control problem of operation modes for DCU in the fuzzy environment. In comparison with the results of known methods, the proposed method gives the best results, as well as calculates the membership functions of fuzzy constraints, i.e. allows controlling the extent to which the fuzzy constraints are met. For verifying the claims and the adequacy of the obtained decisions, we apply scientifically-based methods of multi-criteria optimization, decision-making methods, theories of fuzzy sets, the software package "Delayed coking unit" developed by participation of the author, modern computers with Pentium V processors, as well as real, i.e. experimental production data from the existing delayed coking unit.
机译:本文提出了模糊环境下技术系统运行模式最优控制问题的解决方案,并提出了一种启发式方法来解决所引入的问题。为了形式化和数学问题表述的目的,我们采用模糊集理论和各种折衷方案的方法,多准则选择的方法和最优性原则。通过修改和适应主要准则Maximin和帕累托最优原理的方法,获得了针对最优控制问题的新公式,并开发了有效的启发式求解方法。所提出的用于解决模糊环境中的操作模式的控制问题的方法的独特性和新颖性提供了更有效的解决方案,而无需事先将模糊问题转换为等效的确定性问题,即,最大化了初始模糊信息的使用。与以下事实相反,这是有道理的:与众所周知的方法相比,问题是在模糊环境中设置的,而无需用等效的确定性任务替换,而是使用原始模糊信息来解决。作者的研究贡献是指这样的事实,即在延迟焦化装置(DCU)的运行模式控制期间首次制定了优化问题的数学公式,并根据各种最优性原理开发了启发式方法(主要准则,maximin和帕累托最优)。此外,基于极大值和帕累托最优的改进方法被用于解决控制阿特劳炼油厂(AOR)的延迟焦化装置操作模式的问题。我们提出并分析了基于启发式方法的最大-最小方法和帕累托最优原理的应用结果,并在解决阿特劳炼油厂延迟焦化装置最佳运行模式控制决策问题时考虑了可能的让步,可在模糊环境中使用。应用启发式方法获得的结果表明,该方法解决了模糊环境下DCU运行模式的控制问题。与已知方法的结果相比,所提出的方法给出了最佳结果,并且计算了模糊约束的隶属函数,即允许控制模糊约束的满足程度。为了验证索赔和所获得决策的充分性,我们采用了基于科学的多准则优化方法,决策方法,模糊集理论,作者参与开发的软件包“延迟焦化单元”,现代配备奔腾V处理器的计算机,以及来自现有延迟焦化装置的真实(即实验性)生产数据。

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