Sampled-data simulation of periodically switched nonlinear circuits

Author

Li, Quan ; Yuan, Fei

Author_Institution

Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, Ont., Canada

Volume

1

fYear

2003

fDate

4-7 May 2003

Firstpage

219

Abstract

A new and efficient method for time domain response and sensitivity analysis of periodically switched nonlinear (PSN) circuits is presented. By representing the nonlinear characteristics using Volterra functional series and interpolating Fourier series, the response and sensitivity of PSN circuits are obtained. The method correctly handles the inconsistent initial conditions that may occur at switching instants by extending the previously proposed two-step algorithm to switched nonlinear circuits. Example circuits are analyzed and the results are compared with those from PSPICE simulation and the Brute-Force method.

Keywords

Fourier series; Volterra series; nonlinear systems; sampled data circuits; sensitivity analysis; switched networks; Brute-Force method; PSPICE simulation; Volterra functional series; interpolating Fourier series; periodically switched nonlinear circuits; sensitivity analysis; time domain response; Circuit simulation; Linear circuits; Nonlinear circuits; Predictive models; SPICE; Sensitivity analysis; Switching circuits; Taylor series; Time domain analysis; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2003. IEEE CCECE 2003. Canadian Conference on

ISSN

0840-7789

Print_ISBN

0-7803-7781-8

Type

conf

DOI

10.1109/CCECE.2003.1226382

Filename

1226382