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To deal with the problems of topological structure cannot adjust adaptively, easy to trap into the local minimum and diversity losing in traditional particle swarm optimization algorithm, a newly adaptive PSO algorithm based on dynamic link matrix was proposed, which build the neighborhoods though link matrix and divide them into the sub-swarm based on feature clustering. The algorithm can adjust...
Particle swarm optimization (PSO) has made significant progress and has been widely applied to computer science and engineering. Since its introduction, the parameter tuning of PSO has always been a hot topic. As a robust design method, the Taguchi method is known as a good tool in designing parameters. Thus the Taguchi method is adopted to analyze the effect of inertia weight, acceleration coefficients,...
A new indirect power control strategy based on Model Predictive Current Control (MPCC) for the three-phase Voltage Source Rectifiers (VSR) is proposed in this paper. The proposed strategy regulates the instantaneous AC-side power to ensure stable DC-side voltage under unbalanced gird voltage conditions while no Phase Locked Loop (PLL) or coordinate transformations are needed. This paper analyzes the...
This paper presents a Neural Network (NN) based scheme for sizing and classification of defects in Steam Generator (SG) tubes of ferromagnetic material from both measured and simulated Remote Field Eddy Current Testing (RFECT) signals. A novel 2D-3D hybrid database approach of edge FEM method is applied for the rapid computation of RFECT signals due to local defects that is necessary for NN training...
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