title: Direct adaptive control of wind energy conversion systems using Gaussian networks.
abstract: Grid connected wind energy conversion systems (WECS) present interesting control demands, due to the intrinsic nonlinear characteristics of windmills and electric generators. In this paper a direct adaptive control strategy for WECS control is proposed. It is based on the combination of two control actions: a radial basis zfunction network-based adaptive controller, which drives the tracking error to zero with user specified dynamics, and a supervisory controller, based on crude bounds of the system's nonlinearities. The supervisory controller fires when the finite neural-network approximation properties cannot be guaranteed. The form of the supervisor control and the adaptation law for the neural controller are derived from a Lyapunov analysis of stability. The results are applied to a typical turbine/generator pair, showing the feasibility of the proposed solution.
authors.affiliation: Industrial Electronics and Control Laboratory, Department of Electronics, University of La Plata, La Plata, Argentina.
authors.forename: M A
authors.initials: MA
authors.lastname: Mayosky
authors.forename: I E
authors.initials: IE
authors.lastname: Cancelo