Software reconfigurable fuzzy PI-type controller for DC generator with separate excitation
Pelc, Mariusz (2012) Software reconfigurable fuzzy PI-type controller for DC generator with separate excitation. In: 2012 17th International Conference on Methods & Models in Automation & Robotics (MMAR). IEEE Conference Publications . IEEE, Piscataway, N.J., USA, pp. 291-296. ISBN 978-1467321211 (doi:https://doi.org/10.1109/MMAR.2012.6347872)
Full text not available from this repository. (Request a copy)Abstract
In the typical computer control systems the core control algorithm itself is usually hard coded in a fixed form in a computer program. As such the control algorithm is not easily adjustable for run-time changing control goals and usually if any kind of reconfiguration of the algorithm is required, it can only be achieved via some kind of external tuning. In this paper a software architecture of Fuzzy Logic Controller algorithm for control of DC generator with separate excitation is presented. As such, the generator is a non-linear system due to the non-linear magnetization characteristic of its excitation circuit. Novelty of the paper lies in using the Open Decision Point component architecture to implement a flexible control algorithm where the core decision making logic is run-time loadable, configurable and replaceable which does not only enable parametric adjustment of control strategy but also changing the control strategy itself.
Item Type: | Conference Proceedings |
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Title of Proceedings: | 2012 17th International Conference on Methods & Models in Automation & Robotics (MMAR) |
Additional Information: | [1] This paper was presented at the 17th International Conference on Methods and Models in Automation and Robotics (MMAR 2012) held from 27-30 August 2012 in Miedzyzdrojie, Poland. [2] INSPEC Accession Number: 13117935 |
Uncontrolled Keywords: | control systems, DC generators, fuzzy logic, fuzzy systems, pragmatics, software algorithms, tuning, DC motors, PI control, control engineering computing, electric generators, fuzzy control, machine control, nonlinear control systems, software architecture |
Subjects: | Q Science > QA Mathematics > QA76 Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Faculty / School / Research Centre / Research Group: | Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science |
Last Modified: | 04 Mar 2022 13:08 |
URI: | http://gala.gre.ac.uk/id/eprint/9696 |
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