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Industrial automation and control systems are composed out of logically interconnected but physically separated software components. Subcomponents of such systems often require diverse communication links with different protocols and specific quality of service (QoS) constraints. These QoS requirements for communication have an important impact to the overall system design and must be considered during the engineering of automation and control systems. This specific task has not been considered by model driven engineering approaches so far. This paper shows an approach for model-driven configuration of heterogeneous and hybrid communication networks in the field of industrial automation and control systems. On the basis of a communication model which is built from an application model and a hardware model we describe the mapping and routing of the communication with specific QoS.

The automation of plants and machines is becoming more and more complex due to the extensive usage of intelligent field devices as for instance programmable actuators and sensors. The graphical programming languages used are typically for the automation domain, and control applications tend to be become increasingly complex which results in higher engineering costs for establishment and maintenance. The new IEC 61499 standard for distributed control systems provides an interesting engineering concept called subapplications. This concept has, in principle, the potential to provide a cost-effective solution for industrial automation applications, but is currently only being used in a few instances. The goal of this paper is to introduce a simpler, more effective, engineering approach to structure large scale distributed control programs based on a hierarchical plant structure model together with IEC 61499 subapplications.

In today's globalized markets the manufacturing industry in traditional high-wage countries highly depends on flexible and automated manufacturing systems to remain competitive. State-of-the-art industrial control and automation systems do not sufficiently solve the problem of downtimeless reconfiguration of control applications. This paper presents an approach for structured modeling of controlled reconfigurations of control applications based on IEC 61499. The reconfiguration process itself with this paper defined as evolution allows close interaction with applications or physical processes while modeling knowledge from control engineering is reused for evolution engineering. An example points out the evolution engineering process as well as the benefits of this new approach.

Current trends such as shorter product lifecycles, reduced time-to-market and mass-customisation require new paradigms and approaches for production lines and machines. In the long term, production and manufacturing companies will only be able to survive in the face of increasing globalisation if they can react flexibly and quickly to changing customer and market demands. New paradigms and approaches are waiting to fulfil these requirements, but their implementation requires completely new technologies. Reconfiguration, both at machine (physical) and control technology (logical) level is a promising candidate to achieve the flexibility required by these paradigms by technical means. This makes a shift from centrally controlled, highly interlinked, and often tightly interlocked production systems to distributed, modular, collaborative components essential. This paper describes the distributed control concept for a 6-DOF reconfigurable robot arm based on the IEC 61499 reference model as a demonstration platform for reconfigurable approaches.