@Article{2018.100000045,
AUTHOR = {Wei Zhang, Weifeng Shi, Bing Sun},
TITLE = {BDI Agent and QPSO-based Parameter Optimization for a Marine  Generator Excitation Controller},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {25},
YEAR = {2019},
NUMBER = {3},
PAGES = {423--431},
URL = {http://www.techscience.com/iasc/v25n3/39675},
ISSN = {2326-005X},
ABSTRACT = {An intelligent optimization algorithm for a marine generator excitation controller 
is proposed to improve dynamic performance of shipboard power systems. This 
algorithm combines a belief–desire–intention agent with a quantum-behaved 
particle swarm optimization (QPSO) algorithm to optimize a marine generator 
excitation controller. The shipboard zonal power system is simulated under 
disturbance due to load change or severe fault. The results show that the 
proposed optimization algorithm can improve marine generator stability 
compared with conventional excitation controllers under various operating 
conditions. Moreover, the proposed intelligent algorithm is highly robust because 
its performance is insensitive to the accuracy of system parameters.},
DOI = {10.31209/2018.100000045}
}