Abstract
An artificial immune system (AIS)-Based control of generator excitation systems for the U.S. Navy's electric ship is presented in this paper to solve power quality problems caused by high-energy loads such as direct energy weapons. the coordinated development of the AIS controllers mainly consists of two parts innate immunity (optimal) and adaptive immunity. the parameters of the controllers for the former, to provide optimal performance, are determined simultaneously using particle swarm optimization. for dramatic changes in the ship's power system, adaptive control based on the immune system feedback law is developed. the feedback law adapts the controllers' parameters only during transient disturbances. after the disturbance, the controllers' parameters are restored to their innate values. a ship's real-time power system and the proposed AIS control of all excitation systems have been implemented on a real-time digital simulator and a digital signal processor, respectively. Results from the hardware-in-the-loop studies show that the AIS controllers can provide effective control of all generators' terminal voltages during pulsed loads, restoring and stabilizing them quickly. © 2012 IEEE.
Recommended Citation
C. Yan et al., "AIS-Based Coordinated and Adaptive Control of Generator Excitation Systems for an Electric Ship," IEEE Transactions on Industrial Electronics, vol. 59, no. 8, pp. 3102 - 3112, Institute of Electrical and Electronics Engineers, Aug 2012.
The definitive version is available at https://doi.org/10.1109/TIE.2012.2187411
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Artificial immune system (AIS); electric ship; particle swam optimization (PSO); pulsed loads
International Standard Serial Number (ISSN)
0278-0046
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Aug 2012
Comments
National Science Foundation, Grant 0348221