Agent–Based Approach for LabVIEW Developed Distributed Control Systems

Polaków, Grzegorz; Metzger, Mieczysław

doi:10.1007/978-3-540-72830-6_3

Cited by 9 publications

(2 citation statements)

References 5 publications

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“…Another component in this architecture is a layer that allows agents to interact with the FF model. We use LABVIEW 5 framework to develop FIPA-based agents [31]. The main reason for using FIPA-compliant agents is their capacity to aggregate other FIPA agents in the architecture.…”

Section: Multiagent Architecturementioning

confidence: 99%

A Neural Network Multiagent Architecture Applied to Industrial Networks for Dynamic Allocation of Control Strategies Using Standard Function Blocks

Machado¹,

Neto

Melo

2010

IEEE Trans. Ind. Electron.

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This paper presents a multiagent architecture applied to factory automation. These agents detect faults in automated processes and allocate intelligent algorithms in field device function blocks (FBs) to solve these faults. We also present a dynamic FB parameter exchange strategy that allows agent fieldbus allocation. This architecture is a foundation for intelligent physical agents standard-based agent platform developed using Foundation Fieldbus technology. The aim is to enable problem detection activities, independent of user intervention. The use of artificial neural network (ANN)-based algorithms enables the agents to learn about fault patterns and adapt an algorithm that can be used in fault situations. Thus, we intend to reduce supervisor intervention in selecting and implementing an appropriate structure for FB algorithms. Furthermore, these algorithms, when implemented in device FBs, provide a solution at the fieldbus level, reducing data traffic between gateway and device, and speeding up the process of problem resolution. We also show some examples of our approach. The first is a neural network architecture change that allocates different types of neural networks in field devices without interrupting the fieldbus network operation. The second shows a multiagent architecture that implements the neural network change in a laboratory test process, where fault scenarios have been simulated.

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Section: Multiagent Architecturementioning

confidence: 99%

A Neural Network Multiagent Architecture Applied to Industrial Networks for Dynamic Allocation of Control Strategies Using Standard Function Blocks

Machado¹,

Neto

Melo

2010

IEEE Trans. Ind. Electron.

View full text Add to dashboard Cite

show abstract

“…We use LABVIEW framework to develop based-agents FIPA (Polaków & Metzger, 2007). The main reason for using FIPAcompliant agents is their capacity to aggregate other FIPA agents in the architecture.…”

Section: Factory Automation 376mentioning

confidence: 99%