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Application of Dependency Structure Matrices and Multilevel Synthesis to a Production Line

机译:依赖结构矩阵和多级合成在生产线中的应用

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Designing correct supervisory controllers for high-tech systems is becoming increasingly complex due to demands for verified safety, higher quality, and more functionality. Based on supervisory control theory, a method is defined to automatically derive a supervisor from a model of the uncontrolled system (the plant) and a model of the control requirements. A drawback of this approach is the computational complexity that grows exponentially with the number of components in the system. Several control architectures have been proposed in the literature to overcome this problem. It is not always evident which control architecture is most suitable for a given system. Therefore, the research on methods supporting automatic architecture generation gains in importance. The purpose of this paper is to illustrate such a method in a case study involving the development of supervisory control. The control architecture is automatically derived from the plant and requirement models, using clustering techniques for dependency structure matrices. The following development steps are discussed: modeling the plant, modeling the requirements, structuring the models in a multilevel control architecture, synthesizing the supervisors, and generating a real-time controller for implementation.
机译:由于对验证安全性,更高质量和更多功能的要求,设计正确的高科技系统监控器正在变得越来越复杂。基于监督控制理论,定义了一种方法,以自动从不受控制的系统(工厂)的模型和控制要求的模型中导出主管。这种方法的缺点是计算复杂性,这些复杂性与系统中的组件数量呈指数级级。在文献中提出了几种控制架构来克服这个问题。它并不总是明显的控制架构最适合给定系统。因此,对支持自动架构生成的方法的研究重视。本文的目的是说明在涉及监督控制的发展的案例研究中的这种方法。控制架构使用用于依赖结构矩阵的聚类技术自动从工厂和需求模型中派生。讨论了以下开发步骤:建模工厂,建模要求,在多级控制架构中构建模型,合成主管,并为实现生成实时控制器。

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