Development of a nonlinear model of unijunction transistor using artificial immune system

Author

Nanda, S.J. ; Behera, Sameer Kumar ; Panda, Ganapati

Author_Institution

Dept. of Electron. & Commun. Eng., Nat. Inst. of Technol., Rourkela, India

fYear

2009

fDate

9-11 Dec. 2009

Firstpage

725

Lastpage

730

Abstract

The efficient modeling of unijunction transistor (UJT) is an burning issue in power industries. The available SPICE based model provides V-I characteristic of UJT. The output characteristic of UJT is nonlinear in nature and its modeling plays an important role in many applications where the output voltage of UJT drives any other device or circuit. In this paper a nonlinear device model is proposed using functional link artificial neural network (FLANN) and adaptive finite impulse response (FIR) filter along with artificial immune system (AIS) for simulation of UJT. The potential of the proposed model is demonstrated for modeling of both the V-I and output characteristics of UJT under variable load conditions.

Keywords

FIR filters; adaptive filters; artificial immune systems; electronic engineering computing; neural nets; semiconductor device models; unijunction transistors; FIR filter; UJT; V-I characteristics; adaptive finite impulse response filter; artificial immune system; functional link artificial neural network; nonlinear model; output characteristics; unijunction transistor; variable load conditions; Adaptive filters; Adaptive systems; Artificial immune systems; Artificial neural networks; Circuits; Finite impulse response filter; Power industry; Power system modeling; SPICE; Voltage; Unijunction transistor (UJT); artificial immune systems (AIS); functional link artificial neural network (FLANN);

fLanguage

English

Publisher

ieee

Conference_Titel

Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on

Conference_Location

Coimbatore

Print_ISBN

978-1-4244-5053-4

Type

conf

DOI

10.1109/NABIC.2009.5393485

Filename

5393485