Developments in dynamic and intelligent reconfiguration of industrial automation

Brennan, Robert W.; Vrba, Pavel; Tichý, Pavel; Zoitl, Alois; Sünder, C.; Strasser, Thomas; Mařı́k, Vladimı́r

doi:10.1016/j.compind.2008.02.001

Cited by 51 publications

(12 citation statements)

References 31 publications

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“…[27], [28] for surveys. For selfadaptation and reconfiguration, similarly to an automatic design synthesis, agents must be able to infer their capabilities, i.e.…”

Section: Related Workmentioning

confidence: 99%

Compatibility and coalition formation: Towards the vision of an automatic synthesis of manufacturing system designs

Feldmann

Legat

Kernschmidt

et al. 2014

2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE)

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The increasing demand for manufacturing systems' flexibility and adaptability enlarges the complexity in engineering. Engineering efficiency must be increased by reusing existing components. However, large component libraries complicate a modular approach as identifying and selecting components can be time consuming and inefficient. To overcome this challenge, the vision of an automatic synthesis of manufacturing system designs is illustrated. It is shown how this vision can be mapped to checking the compatibility of components from a library and how coalition formation of software agents can provide possible means towards realizing this vision.

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“…[27], [28] for surveys. For selfadaptation and reconfiguration, similarly to an automatic design synthesis, agents must be able to infer their capabilities, i.e.…”

Section: Related Workmentioning

confidence: 99%

Compatibility and coalition formation: Towards the vision of an automatic synthesis of manufacturing system designs

Feldmann

Legat

Kernschmidt

et al. 2014

2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE)

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“…More details about the IEC 61499 management interface and its usage for reconfigurable automation and control are given in [5], [9], [11], [48]- [51], and [8].…”

Section: A Iec 61499 Reference Modelmentioning

confidence: 99%

Autonomous Application Recovery in Distributed Intelligent Automation and Control Systems

Strasser

Froschauer²

2012

IEEE Trans. Syst., Man, Cybern. C

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Over the past decade, a clear trend toward distributed automation in industrial systems was observable. This means that applications are executed at heterogeneous control devices and communication networks. One of the main drivers of this development was the availability of cheap computing and communication resources. Moreover, a strong market demand for operation and adaptation of automation and control services with no downtime is also often requested. As a result, appropriate approaches recovering and (re)configuring automation and control devices as well as even their services and functions during full operation are needed. The relatively new standard IEC 61499 "Function Blocks" provides a reference model for the development and implementation of distributed industrial process measurement and control systems (IPMCSs). It provides a scalable and open architecture to model distributed automation and control applications. The high-level goals of IEC 61499 can be summarized as interoperability, (re)configurability, and portability of distributed applications for IPMCS. Therefore, it provides a very good basis for dynamic (re)configuration and recovery of applications and status information in heterogeneous IPMCS and may master some of the shortcomings of present-day systems. The main purpose of this paper is to present and discuss a general concept for autonomous recovery of applications within the context of distributed automation and control systems which has been implemented using the IEC 61499 reference model. Index Terms-Automatic application recovery, distributed intelligent automation, holonic manufacturing system (HMS), International Electrotechnical Commission (IEC) 61499, industrial process measurement and control systems (IPMCSs), lower level control (LLC), (re)configuration.

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“…Therefore, it already defines the architectural elements that are necessary for hardware access. There is considerable work on function-block technology in an execution environment for the low-level real-time control [29], [30], [32]. SIFBs play an important role in accessing directly to hardware.…”

Section: B Advantages Of Using Function Blocks For Distributed Sensimentioning

confidence: 99%

Application-Oriented Intelligent Middleware for Distributed Sensing and Control

Cai

Gholami

Yang

et al. 2012

IEEE Trans. Syst., Man, Cybern. C

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In this paper, wireless sensor networks are proposed as a distributed sensing and control (DSC) approach for productivity and safety improvement of harsh and dynamic industrial systems, such as factory automation, oil and gas industries, and wind farms. The proposed approach focuses on DSC middleware, which considers both application requirements and network resource constraints. By embedding complex application knowledge at different levels and configuring network topology in real time, the DSC system can accomplish effective task assignment, optimal network deployment, and device-level intelligence. IEC 61499 function blocks and intelligent agents are employed as modeling tools for the middleware implementation.Index Terms-Distributed sensing and control (DSC), IEC 61499 function blocks, intelligent agents, middleware, wireless sensor networks (WSNs).

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Developments in dynamic and intelligent reconfiguration of industrial automation

Cited by 51 publications

References 31 publications

Compatibility and coalition formation: Towards the vision of an automatic synthesis of manufacturing system designs

Compatibility and coalition formation: Towards the vision of an automatic synthesis of manufacturing system designs

Autonomous Application Recovery in Distributed Intelligent Automation and Control Systems

Application-Oriented Intelligent Middleware for Distributed Sensing and Control

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