Scenarios in the Design of Flexible Manufacturing Systems
Scenarios in the Design of Flexible Manufacturing Systems
复制标题
柔性制造系统设计场景
DOI：
10.1007/978-3-030-20343-6_9
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
J. Voeten
中科院分区：
文献类型：
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作者：
T. Basten;J. Bastos;Róbinson Medina;Bram van der Sanden;M. Geilen;Dip Goswami;M. Reniers;S. Stuijk;J. Voeten
现代高科技柔性制造系统 (FMS)，如光刻系统、专业打印机、X 射线机和电子显微镜，其特点是机器控制软件与受控物理过程之间的耦合越来越紧密。控制软件以及FMS的设计和配置对系统生产率和产品质量具有重要影响。基于模型、基于场景的设计提供了保证和优化系统生产力的方法，同时确保其正常运行。我们展示了抽象的系统级活动模型，在语义上以 (max,+) 代数为基础，具有捕获 FMS 执行场景的活动，可用于在早期设计阶段对 FMS 进行快速、准确的生产力分析。相同的模型可用于监控控制器综合和优化，为监控软件提供安全和性能保证。最后，基于场景的自适应流水线控制可以优化 FMS 中的数据密集型控制循环，从而影响系统级生产力。
Modern high-tech flexible manufacturing systems (FMS) such as lithography systems, professional printers, X-ray machines, and electron microscopes are characterized by an increasingly tight coupling between machine control software and the controlled physical processes. Control software and the design and configuration of FMS have an important impact on system productivity and product quality. Model-based, scenario-based design provides means for guaranteeing and optimizing system productivity while ensuring its proper functioning. We show that abstract system-level activity models, semantically grounded in (max,+) algebra with activities capturing execution scenarios of the FMS, can be used for fast and accurate productivity analysis of FMS in early design phases. The same models can be used for supervisory controller synthesis and optimization, providing safety and performance guarantees in the supervisory control software. Finally, scenario-based, adaptive, pipelined control enables optimization of data-intensive control loops in FMS, which in turn impacts system-level productivity.