Title :
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
fDate :
Nov. 30 2009-Dec. 1 2009
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;
Conference_Titel :
Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3888-4
DOI :
10.1109/KAM.2009.74
