Applications of a Novel Volterra Higher-Order Kernels Algorithm on Turbine Speed Control

Author

Duan, Zhemin ; Wang, Haitao ; Si, Wei ; Yang, Ting

Author_Institution

Northwestern Polytech. Univ. (NWPU), Xi´´an, China

Volume

2

fYear

2009

fDate

Nov. 30 2009-Dec. 1 2009

Firstpage

25

Lastpage

28

Abstract

In this paper, a novel method to identify Volterra kernels of nonlinear and dynamical systems is proposed, The new notions introduced here develops an implementation of accurate and efficient nonparametric algorithm for the identification of Volterra series orders up to arbitrary precision. The model of aeroturbine is constructed using Volterra series. It is demonstrated that the speed of the turbine can be controlled by nonlinear model.

Keywords

Volterra series; identification; nonlinear dynamical systems; turbines; velocity control; Volterra higher-order kernels algorithm; Volterra series; aeroturbine; arbitrary precision; nonlinear dynamical systems; nonparametric algorithm; turbine speed control; Frequency domain analysis; Hilbert space; Kernel; Knowledge acquisition; Least squares approximation; Nonlinear systems; Power system modeling; Turbines; Vectors; Velocity control; Nonlinearity; Volterra; functional; kernel; turbine speed;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3888-4

Type

conf

DOI

10.1109/KAM.2009.74

Filename

5362333