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.
authors.forename: Riemann
authors.initials: R
authors.lastname: Ruiz-Cruz
authors.forename: Edgar N
authors.initials: EN
authors.lastname: Sanchez
authors.forename: Fernando
authors.initials: F
authors.lastname: Ornelas-Tellez
authors.forename: Alexander G
authors.initials: AG
authors.lastname: Loukianov
authors.forename: Ronald G
authors.initials: RG
authors.lastname: Harley