过程控制辅助系统中的联合仿真技术

Florian Schloegl, Lars Fischer, S. Lehnhoff, R. Rosen, J. C. Wehrstedt
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引用次数: 1

摘要

信息和通信技术(ICT)对生产系统和公共基础设施的渗透创造了新的系统,在能源领域被称为智能电网,在生产领域被称为工业4.0。这为灵活定制的生产和分销提供了前所未有的机会。然而,这些复杂且相互关联的系统需要新的操作方法。辅助系统类似于汽车行业的辅助系统,将支持操作员的任务,提供安全、高效和不受干扰的生产系统运行。本文认为,更复杂的辅助系统功能是基于仿真的。本文讨论了联合模拟方法如何很好地适合于这项任务。联合仿真是独立仿真器的联合仿真,每个仿真器代表整个系统的一个组件或子系统。协同仿真的模块化反映了生产系统的模块化。可以使用现有的模型来组成模拟。联合仿真很容易适应生产系统的不同配置或拓扑结构的变化。联合仿真固有的灵活性使其能够满足广泛的要求,其中包括仿真速度和精度。联合仿真进一步允许将模型作为“黑盒”包括进来,该黑盒可用于保护建模组件的知识产权。然而,联合仿真总是伴随着额外的通信成本。模型之间的数据交换设置了仿真速度的上限。这限制了联合模拟的应用:如果对计算速度的要求非常高,其他方法如混合模拟更合适。对于非常精确的模拟,并行模拟可能是合适的。
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Co-simulation techniques in assistance systems for process control
The penetration of production systems and common infrastructure with information and communication technologies (ICT) creates new systems, called Smart Grids in energy or Industry 4.0 in production. This offers unprecedented opportunities for flexible and customized production and distribution. However, these complex and interconnected systems need new approaches for operation. Assistance system similar to those known from the automotive sector will support operators in their task to provide a safe, efficient and undisturbed operation of production systems. The paper supports, that more complex functionalities of assistance systems are based on simulation. This paper discusses the question how well co-simulation approaches are suited for this task. Co-simulation is the joint simulation of independent simulators each representing a component or subsystem of the overall system. The modularity of co-simulation reflects the modularity of production systems. It is possible to compose a simulation by using existing models. It is easy to adapt co-simulation to different configurations of production systems or changes in topology. The inherent flexibility of co-simulation makes it possible to cover broad range of requirements regarding, among others, simulation speed and precision. Co-simulation further allows to include models as “black boxes” which can be used to protect intellectual property on the modeled components. However, co-simulation always comes with additional costs for communication. Data exchange between models sets upper bounds for simulation speed. This limits the application of co-simulation: If requirements on calculation speed are very high other approaches like hybrid simulations are more suitable. For very precise simulations parallel simulation may be appropriate.
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