生物启发的元启发式优化用于工业控制系统分层架构设计
Bio-inspired metaheuristic optimization for hierarchical architecture design of industrial control systems
AI总结：
本文提出基于元启发式蚁群优化算法的工业控制系统分层架构优化方法，解决分布式过程控制系统在化工连续生产中的软件硬件结构选择问题。
摘要：
自动化过程控制系统（APCS）广泛应用于现代工业企业，需满足产品质量、过程安全和成本控制三大目标。本文研究了在化工连续生产中选择最优软件和硬件结构的问题，将系统分层结构形式化为无环图，并定义了优化准则和约束。提出基于元启发式蚁群优化算法的求解方法，概述了开发的软件工具，讨论了实验结果、参数选择及算法改进方向，并介绍了所选软硬件结构实现的控制系统验证信息及未来研究方向。
英文摘要：
Automated process control systems (APCS) are widely used in modern industrial enterprises. They address three key objectives: ensuring the required quality of manufactured products, ensuring process safety for people and the environment, and reducing capital and operating costs. At large industrial enterprises, APCSs are typically geographically distributed and characterized by a large number of monitored parameters. Such systems often consist of several subsystems built using various technical means and serving different functional purposes. APCSs usually have a hierarchical structure consisting of several levels, where each level hosts commercially available technical devices with predetermined characteristics. This article examines the engineering problem of selecting an optimal software and hardware structure for a distributed process control system applied to a continuous process in the chemical industry. A formal formulation of the optimization problem is presented, in which the hierarchical structure of the system is represented as an acyclic graph. Optimization criteria and constraints are defined. A solution method based on a metaheuristic ant colony optimization algorithm, widely used for this class of problems, is proposed. A brief overview of the developed software tool used to solve a number of numerical examples is provided. The experimental results are discussed, along with parameter selection and possible algorithm modifications aimed at improving solution quality. Information on the verification of the control system implemented using the selected software and hardware structure is presented, and directions for further research are outlined.
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