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Abstract
Power systems, including steam turbines and synchronous generators, are complex nonlinear systems with parameters varying over time. The paper presents the developed simplified, multiregional fuzzy model of the steam turbine of a nuclear power plant turbine generator set and compares the results with a full nonlinear model and commonly used linear input-output model of a steam turbine. The proposed model consist of series of linear input-output models defined for specific steam turbine operating points and one fuzzy switching module with Takagi-Sugeno reasoning interface. Provided simulation results indicate that the response of presented simplified fuzzy multiregional steam turbine model is very close to the reference nonlinear steam turbine model such that the maximum absolute error is around few percent for considered operating point changes, 30-100% of nominal mechanical power. Hence steam turbine model in such form may increase the accuracy of developed control algorithms, which use system model for adaptation or prediction purposes.
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- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- 2016 21st International Conference on Methods and Models in Automation and Robotics (MMAR) strony 379 - 384
- Language:
- English
- Publication year:
- 2016
- Bibliographic description:
- Sokólski P., Rutkowski T., Duzinkiewicz K..: Simplified, multiregional fuzzy model of a nuclear power plant steam turbine, W: 2016 21st International Conference on Methods and Models in Automation and Robotics (MMAR), 2016, IEEE,.
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/mmar.2016.7575165
- Verified by:
- Gdańsk University of Technology
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