dr inż. Tomasz Adam Rutkowski
Employment
- Assistant professor at Department of Intelligent and Decision Support Systems
Business contact
- Location
- Al. Zwycięstwa 27, 80-219 Gdańsk
- Phone
- +48 58 348 62 62
- biznes@pg.edu.pl
Social media
Contact
Assistant professor
- Department of Intelligent and Decision Support Systems
- Faculty of Electrical and Control Engineering
- Workplace
-
Budynek Wydz. Elektr.
room 4 open in new tab - Phone
- +48 58 347 12 26
- tomasz.adam.rutkowski@pg.edu.pl
Publication showcase
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Nodal models of Pressurized Water Reactor core for control purposes – A comparison study
The paper focuses on the presentation and comparison of basic nodal and expanded multi-nodal models of the Pressurized Water Reactor (PWR) core, which includes neutron kinetics, heat transfer between fuel and coolant, and internal and external reactivity feedback processes. In the expanded multi-nodal model, the authors introduce a novel approach to the implementation of thermal power distribution phenomena into the multi-node...
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Fuzzy Multi-Regional Fractional PID controller for Pressurized Water nuclear Reactor
The paper presents the methodology for the synthesis of a Fuzzy Multi-Regional Fractional Order PID controller (FMR-FOPID) used to control the average thermal power of a PWR nuclear reactor in the load following mode. The controller utilizes a set of FOPID controllers and the fuzzy logic Takagi-Sugeno reasoning system. The proposed methodology is based on two optimization parts. The first part is devoted to finding the optimal...
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Identification of the Contamination Source Location in the Drinking Water Distribution System Based on the Neural Network Classifier
The contamination ingression to the Water Distribution System (WDS) may have a major impact on the drinking water consumers health. In the case of the WDS contamination the data from the water quality sensors may be efficiently used for the appropriate disaster management. In this paper the methodology based on the Learning Vector Quantization (LVQ) neural network classifier for the identification of the contamination source location...
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