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Modeling and Control of Production Networks

机译:生产网络的建模与控制

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In order to respond to events like maintenances or machine breakdowns, production networks need to be transferred between several operating points. Inspired by classical control theory, we provide a two degrees of freedom control structure for production networks. Besides a trajectory planning unit generating reference signals, it contains a tracking controller. We provide an agent-based modeling procedure using Petri nets in order to incorporate the discrete event nature of production networks into the trajectory planning unit. As they exhibit memory character, some of the Petri net places can be associated with states in the sense of control theory. Based on them we derive a meaningful state space model from the Petri net description. It is used to design the tracking controller which compensates disturbances proximate to the reference trajectory. Since the latter takes account for discrete events, the controller can be designed using classical control theory. In this way, we integrate planning and control of production networks using a combination of discrete event systems and time driven systems in one control structure avoiding the complexity of hybrid system formulations.
机译:为了响应诸如维护或机器故障之类的事件,需要在多个操作点之间转移生产网络。受经典控制理论的启发,我们为生产网络提供了两个自由度的控制结构。轨迹规划单元除了生成参考信号外,还包含一个跟踪控制器。我们使用Petri网提供基于代理的建模过程,以便将生产网络的离散事件性质整合到轨迹计划单元中。由于它们表现出记忆特性,因此在控制理论的意义上,某些陪替氏网位可以与状态相关联。基于它们,我们从Petri网描述中得出有意义的状态空间模型。它用于设计跟踪控制器,该控制器可补偿接近参考轨迹的干扰。由于后者考虑了离散事件,因此可以使用经典控制理论来设计控制器。通过这种方式,我们在一个控制结构中使用离散事件系统和时间驱动系统的组合来集成生产网络的计划和控制,从而避免了混合系统公式的复杂性。

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