Using analog neutral networks for control sensor linearization

Author

Dempsey, G.L. ; Alig, J.S. ; Redfield, D.E.

Author_Institution

Dept. of Electr. & Comput. Eng., Bradley Univ., Peoria, IL, USA

Volume

1

fYear

1995

fDate

13-16 Aug 1995

Firstpage

73

Abstract

The issues of cost, size, and weight of neural controllers have received minimal attention by neural and control researchers. In this paper, we discuss methods to improve the characteristics of control sensors using compact and low-cost analog circuitry. Our objective is to extend the linear region of operation of a nonlinear sensor using artificial neural networks. Our method is applied to the design of a discrete-component phase-locked loop

Keywords

analogue processing circuits; feedforward neural nets; linearisation techniques; phase locked loops; sensors; analog neutral networks; artificial neural networks; control sensor linearization; discrete-component PLL; low-cost analog circuitry; neural controllers; nonlinear sensor; phase-locked loop; Artificial neural networks; Circuits; Costs; Function approximation; Hardware; Neural networks; Neurons; Operational amplifiers; Phase locked loops; Sensor phenomena and characterization; Size control; Weight control;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1995., Proceedings., Proceedings of the 38th Midwest Symposium on

Conference_Location

Rio de Janeiro

Print_ISBN

0-7803-2972-4

Type

conf

DOI

10.1109/MWSCAS.1995.504381

Filename

504381