Improved Analog Filter Design by Random Search

Pillans, J 2019, 'Improved Analog Filter Design by Random Search', IEEE Transactions on Circuits and Systems I: Regular Papers, pp. 1-11.


Document type: Journal Article
Collection: Journal Articles

Title Improved Analog Filter Design by Random Search
Author(s) Pillans, J
Year 2019
Journal name IEEE Transactions on Circuits and Systems I: Regular Papers
Start page 1
End page 11
Total pages 11
Publisher IEEE
Abstract The mainstream procedural analog filter design is a step by step process that restricts the designer to existing well-formed transfer functions and implementation topologies. At each step, approximations to the requirements are allowed to accumulate resulting in implementations failing to meet the original specifications. This paper presents a generalized analog circuit optimizer for linear systems, such as active filters. A random descent search is compared with other methods and shown to be an efficient method to stochastically search the design space and find available component values that minimize the cost function. A computationally efficient simulation technique mixing symbolic and numerical computation is employed that is one order of magnitude faster than solely numeric approaches for repeated evaluations of the same circuit. The optimizer is shown to produce improved designs of typical circuit topologies without prior information. The improved performance is found for single operational amplifier circuits by using unconventional higher order filter topologies. Monte Carlo bounds checking is optionally included in the optimizer to account for expected component variations, producing designs remaining within their original specifications despite nonideal components.
Subject Optimisation
Electrical and Electronic Engineering not elsewhere classified
Keyword(s) Schedules
Topology
Simulated annealing
Cost function
Computational modeling
Numerical models
Circuit simulation
circuit optimization
circuit analysis computing
active filters
operational amplifiers
DOI - identifier 10.1109/TCSI.2019.2893616
Copyright notice © 2019 IEEE
ISSN 1558-0806
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Created: Mon, 29 Apr 2019, 13:04:00 EST by Catalyst Administrator
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