Nonlinear Robust Control of Cuk Converter Using Radial Basis Functions

Author

Medagam, Peda ; Pourboghrat, VFarzad

Author_Institution

Electr. & Comput. Eng., Southern Illinois Univ., Carbondale, IL

fYear

2006

fDate

17-19 Sept. 2006

Firstpage

229

Lastpage

234

Abstract

In this paper a nonlinear robust control law based on the successive approximation of Generalized Hamilton- Jacobi-Issacs (GHJI) equation is proposed for the Cuk converter. The cost function of GHJI equation is estimated by using radial basis functions (RBF). The proposed control law stabilizes the system and guarantees a constant output voltage in spite of disturbances in input voltage and output load. Computer simulation shows the robustness of the control system.

Keywords

DC-DC power convertors; approximation theory; neurocontrollers; nonlinear control systems; radial basis function networks; robust control; Cuk converter; GHJI; Generalized Hamilton- Jacobi-Issacs equation; RBF neural nets; nonlinear robust control; radial basis functions; successive approximation; system stability; Control systems; Cost function; DC-DC power converters; Jacobian matrices; Least squares approximation; Nonlinear equations; Partial differential equations; Robust control; Stability; Voltage control; Cuk converter; GHJI; RBF;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Symposium, 2006. NAPS 2006. 38th North American

Conference_Location

Carbondale, IL

Print_ISBN

1-4244-0227-1

Electronic_ISBN

1-4244-0228-X

Type

conf

DOI

10.1109/NAPS.2006.360149

Filename

4201320