Paper Info
Title
Particle swarm optimization for discrete-time inverse optimal control of a doubly fed induction generator.
Abstract
In this paper, the authors propose a particle swarm optimization (PSO) for a discrete-time inverse optimal control scheme of a doubly fed induction generator (DFIG). For the inverse optimal scheme, a control Lyapunov function (CLF) is proposed to obtain an inverse optimal control law in order to achieve trajectory tracking. A posteriori, it is established that this control law minimizes a meaningful cost function. The CLFs depend on matrix selection in order to achieve the control objectives; this matrix is determined by two mechanisms: initially, fixed parameters are proposed for this matrix by a trial-and-error method and then by using the PSO algorithm. The inverse optimal control scheme is illustrated via simulations for the DFIG, including the comparison between both mechanisms.
Year
DOI
Venue
2013
10.1109/TSMCB.2012.2228188
IEEE T. Cybernetics
Keywords
Field
DocType
machine control,optimal control,control lyapunov function,wind energy,fixed parameters,asynchronous generators,particle swarm optimisation,matrix algebra,trial-and-error method,discrete-time inverse optimal control scheme,rotor side converter (rsc),clf,doubly fed induction generator (dfig),doubly fed induction generator,trajectory tracking,dfig,inverse optimal control,discrete time systems,pso,particle swarm optimization (pso),cost function,matrix selection,grid side converter (gsc),lyapunov methods,particle swarm optimization
Particle swarm optimization,Inverse,Mathematical optimization,Optimal control,Control-Lyapunov function,Control theory,Matrix (mathematics),Discrete time and continuous time,Trajectory,Mathematics,Machine control
Journal
Volume
Issue
ISSN
43
6
2168-2275
Citations 
PageRank 
References 
15
0.80
13
Authors
5
Name
Order
Citations
PageRank
Riemann Ruiz-Cruz1173.52
Edgar N. Sanchez264585.49
Fernando Ornelas-Tellez37613.03
Alexander G. Loukianov431647.55
Ronald G. Harley541854.28