FUZZY SLIDING MODE POWER TRACKING CONTROL FOR PWR NUCLEAR REACTOR POWER PLANT DURING LOAD FOLLOWING OPERATIONS International Symposium on Symbiotic Nuclear Power (ISSNP2024)

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FUZZY SLIDING MODE POWER TRACKING CONTROL FOR PWR NUCLEAR REACTOR POWER PLANT DURING LOAD FOLLOWING OPERATIONS

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摘要

Reactor power control has traditionally been employed in base–load operating conditions. However, with the increasing share of nuclear power in the electricity generation mix, the need for nuclear power reactors to operate in load–following mode is becoming more prevalent. Load–following operation, where the reactor power is adjusted to meet the varying electrical demand, introduces new challenges in nuclear reactor power control. To address this challenge, this paper presents design and analysis of a fuzzy sliding mode control (FSMC), which is a robust nonlinear an advanced control fuzzy logic method algorithm for power tracking control of pressurized water reactor (PWR) during load–following operation. The proposed control combines the robustness of sliding mode control and the flexibility of fuzzy logic to effectively manage and enable stable load–following operations. The reactor core of the PWR is simulated based on a point kinetics equation and three delayed neutron groups. The model assumes that the feedback from lumped–fuel and coolant temperatures. To validate the proposed controller, simulations were performed and the utilized methods are easy to implement in practical applications. Moreover, the fuzzy sliding mode control exhibited the desired dynamic behaviour throughout the entire output–power tracking process. The simulation results demonstrate the effectiveness of the proposed controller in terms of performance, stability, and robustness against disturbances.

关键词

Sliding mode control, Fuzzy control, Point–kinetics equations, Load–following operations, Reactor power control, Lyapunov stability approach.

报告人

Hailemichael Guadie Mengsitu

PhD Student Harbin Engineering University

Hailemichael Guadie Mengistu (Engineer) is a dedicated scholar currently pursuing his PhD at Harbin Engineering University in the Department of Nuclear Science and Technology. He completed his BSc in Electrical and Computer Engineering at Adama Science and Technology University in 2014, and later earned his MSc in Nuclear Engineering from Alexandria University in 2022. His academic focus lies in the advanced integration of AI systems for nuclear reactor power control, positioning him at the forefront of innovation in nuclear science and engineering.