Abstract
This paper is concerned with the evaluation of nuclear research reactor under two types of predictive controllers. The first one is Receding Horizon Predictive Controller (RHPC) which is considered a simple linear predictive controller. The other one is Neural Network Predictive Controller (NNPC) which is a type of nonlinear predictive controller. These controllers are applied over multi-point reactor core model. This model takes into consideration the nonlinearity of the reactor. It also takes into consideration some important physical phenomena like temperature effect, time variant fuel depletion and nonlinear xenon poisoning concentration. Simulation results showed the superiority of RHPC in both tracking and regulation.
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Andraws, M.S., Abd El-Hamid, A.A., Yousef, A.H., Mahmoud, I.I., Hammad, S.A. (2020). Performance Evaluation of Research Reactors Under Different Predictive Controllers. In: Hassanien, A., Azar, A., Gaber, T., Bhatnagar, R., F. Tolba, M. (eds) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019). AMLTA 2019. Advances in Intelligent Systems and Computing, vol 921. Springer, Cham. https://doi.org/10.1007/978-3-030-14118-9_47
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DOI: https://doi.org/10.1007/978-3-030-14118-9_47
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