Cooperative Engineering of Agent-Based Process Control Algorithm

Polaków, Grzegorz; Laszczyk, Piotr

doi:10.1007/978-3-319-24132-6_24

Cited by 2 publications

(1 citation statement)

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“…Moreover, the clear division of competences of experts is achieved due to the proposed agent roles (see Polaków and Laszczyk, 2015). Each group of the experts is responsible for specific parts of the data flow, and due to the decoupling between the system modules (agents), it is possible to add future experts’ contribution to the system dynamically, without running the full engineering cycle.…”

Section: Concluding Remarks and Future Workmentioning

confidence: 99%

Agent-based approach to continuous process control for enabling parallelization of engineering cycles

Polaków

Czeczot

Laszczyk

2017

Concurrent Engineering

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Modern manufacturing and production systems have growing demands in energy and cost savings, which can be ensured using more advanced control algorithms at the regulatory-level industrial control loops. However, developing such algorithms requires case-dependent approach that involves complex mathematics and expertise in various fields of technology and engineering. Gathering all the needed experts to conduct the control system engineering cycle is nearly impossible for organizational and economic reasons. Thus, in this work, it is proposed to employ an agent-based approach, which is substantially different than the conventional engineering cycles for developing the static control system. The idea is to split the entire control design procedure into smaller tasks of developing the modules (i.e. agents), which encapsulate the expert knowledge (e.g. on sensor failure detection, input signal modelling and estimation). It enables clear division of the competences between the experts and allows for dynamic inclusion of the expert knowledge into the newly designed or already existing system. Therefore, the expertise may be distributed both in location and in time, which stands in contradiction to the static approach based on sequential engineering cycles.

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Section: Concluding Remarks and Future Workmentioning

confidence: 99%