Quick-safe intelligent control strategy for SOFC/GT all-electric ship propulsion system under pulsed load using EO-NN approach

Xicong Mi, Jiale Wen, Shengying Xiao, Xidong Sun, Xinwang Jia, Yiwu Weng, Shilie Weng and Xiaojing Lv

Energy, 2025, vol. 333, issue C

Abstract: To enhance the safety and stability of shipboard power grids and propulsion systems under high-power pulsed load impacts for future long-endurance vessels, this study innovatively proposes a quick-safe coordinated control strategy for solid oxide fuel cell/gas turbine all-electric propulsion system. An intelligent controller is constructed using Equilibrium Optimizer algorithm enhanced Radial Basis Function Neural Network approach, with three control strategies incorporating safety factors including stack temperature, temperature gradient, and surge margin. The system's control performance is analyzed under typical rectangular pulsed loads. Results show that fuel-flow-regulated thermal management maintains the lowest temperature gradient with a peak of 10 K/cm and highest surge margin with a trough of 12.7 %. Conversely, air-flow-regulated thermal management achieves optimal power response, reaching 99 % power tracking within 4.83 s. However, it comes at the cost of an elevated peak temperature gradient of 10.81 K/cm. Notably, as the pulse period increases from 5 to 15 s, the system exhibits enhanced power-tracking capability: the maximum duration within a single pulse cycle maintaining ±1 % error extended from 1.97 s to 7.96 s. Conversely, the maximum temperature gradient rises from 9.84 to 10.94 K/cm. This research provides critical technical foundations for adaptive control of all-electric propulsion systems in next-generation intelligent multi-mission warships equipped with high-energy pulsed weaponry.

Keywords: All-electric ship propulsion; SOFC/GT; Pulsed load; Optimal neural network control; Coordinated control (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544225031329
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:333:y:2025:i:c:s0360544225031329

DOI: 10.1016/j.energy.2025.137490

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().