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Selection of MOSFET Sizes by Fuzzy Sets Intersection in the Feasible Solutions Space

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Author(s): S. Polanco-Martagón | G. Reyes-Salgado | G. Flores-Becerra | E. Tlelo-Cuautle | L.G. de la Fraga | I. Guerra-Gómez | M.A. Duarte-Villaseñor

Journal: Journal of Applied Research and Technology
ISSN 1665-6423

Volume: 10;
Issue: 3;
Start page: 472;
Date: 2012;
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Keywords: Fuzzy sets | fuzzy set intersection | circuit sizing | analog circuits | MOSFET | evolutionary algorithms

ABSTRACT
A fuzzy sets intersection procedure to select the optimum sizes of analog circuits composed of metal-oxidesemiconductorfield-effect-transistors (MOSFETs), is presented. The cases of study are voltage followers (VFs) and acurrent-feedback operational amplifier (CFOA), where the width (W) and length (L) of the MOSFETs are selected fromthe space of feasible solutions computed by swarm or evolutionary algorithms. The evaluation of three objectives,namely: gain, bandwidth and power consumption; is performed using HSPICETM with standard integrated circuit (IC)technology of 0.35μm for the VFs and 180nm for the CFOA. Therefore, the intersection procedure among three fuzzysets representing “gain close to unity”, ”high bandwidth” and “minimum power consumption”, is presented. The mainadvantage relies on its usefulness to select feasible W/L sizes automatically but by considering deviation percentagesfrom the desired target specifications. Basically, assigning a threshold to each fuzzy set does it. As a result, theproposed approach selects the best feasible sizes solutions to guarantee and to enhance the performances of the ICsin analog signal processing applications.
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