Costa, Bruno and Skrjanc, Igor and Blazic, Sasho and Angelov, Plamen (2013) A practical implementation of self-evolving cloud-based control of a pilot plant. In: 2013 IEEE International Conference on Cybernetics, CYBCONF-2013, Lausanne, Switzerland13-15 June, 2013 :. IEEE, Piscataway, N.J., pp. 7-12. ISBN 9781467364690
Full text not available from this repository.Abstract
This paper presents the implementation of a first order self-evolving cloud-based controller for the liquid level of a two-tank pilot plant. The controller is based on the AnYa type fuzzy rule-based system (FRB), which has a parameter-free antecedent part, and can learn autonomously on-line with each new input data collected and output generated, with no prior knowledge of the system or off-line training. Two types of controllers are considered: a PD-type controller, with simulated and real results; and a MRC-type controller, with simulated results. Regarding the practical implementation, a real continuous process didactic plant was used as a representation of a real industrial environment through the OLE for Process Control (OPC) communication protocol. It has been demonstrated the possibility of building autonomously and in an unsupervised manner a controller capable of developing and adapting itself in a real-time industrial automation application.