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...

Celý popis

Podrobná bibliografie

Vydáno v:	Expert systems with applications Ročník 286; s. 128006
Hlavní autor:	Hui, Jiuwu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 15.08.2025
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!