
dr inż. Bartosz Puchalski
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
- bartosz.puchalski@pg.edu.pl
Assistant professor
- Department Of Intelligent And Decision Support Systems
- Faculty Of Electrical And Control Engineering
- Workplace
-
Budynek Wydz. Elektr.
room 7 open in new tab - Phone
- +48 58 347 23 57
- bartosz.puchalski@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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An automatic selection of optimal recurrent neural network architecture for processes dynamics modelling purposes
A problem related to the development of algorithms designed to find the structure of artificial neural network used for behavioural (black-box) modelling of selected dynamic processes has been addressed in this paper. The research has included four original proposals of algorithms dedicated to neural network architecture search. Algorithms have been based on well-known optimisation techniques such as evolutionary algorithms and...
Obtained scientific degrees/titles
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2018-06-19
Obtained science degree
dr Automatic control and robotics (Technology)
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