Coevolutionary particle swarm optimization using AIS and its application in multiparameter estimation of PMSM

In this paper, a coevolutionary particle-swarm-optimization (PSO) algorithm associating with the artificial immune principle is proposed. In the proposed algorithm, the whole population is divided into two kinds of subpopulations consisting of one elite subpopulation and several normal subpopulation...

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Bibliographic Details
Main Authors: Zhao-Hua Liu, Jing Zhang, Shao-Wu Zhou, Xiao-Hua Li, Kan Liu
Format: Default Article
Published: 2013
Subjects:
Mechanical engineering not elsewhere classified
Artificial intelligence not elsewhere classified
Artificial immune system (AIS)
Coevolution
Elite population
Global search
Migration scheme
Parameter estimation
Particle swarm optimization (PSO)
Permanent-magnet syn- chronous machines (PMSMs)
Mechanical Engineering not elsewhere classified
Artificial Intelligence and Image Processing
Online Access:https://hdl.handle.net/2134/25039
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https://hdl.handle.net/2134/25039

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