Adaptive Kalman filter-based real-time distribution estimation of unmeasured system states for an advanced passive reactor core under optimized mechanical shim control strategy

•Propose a novel adaptive Kalman filter (AKF)-based estimation algorithm.•Achieve real-time axial distribution estimation of unmeasured system states.•Optimize practical mechanical shim (MSHIM) control strategy.•Achieve parameter optimization in MSHIM by improved particle swarm algorithm.•Present bo...

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Vydané v:	Expert systems with applications Ročník 286; s. 128006
Hlavný autor:	Hui, Jiuwu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.08.2025
Predmet:	Adaptive Kalman filter (AKF) Advanced passive reactor (AP1000) Improved particle swarm algorithm (IPSO) Mechanical shim (MSHIM) control strategy Real-time distribution estimation Advanced passive reactor (AP1000) Mechanical shim (MSHIM) control strategy Real-time distribution estimation Improved particle swarm algorithm (IPSO) Adaptive Kalman filter (AKF)
ISSN:	0957-4174
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