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Proceedings Paper

Automatic resonant cancellation using genetic search
Author(s): Eric Minh Nguyen; Nadipuram R. Prasad
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Paper Abstract

Automation is the future trend for the target tracking systems of the Smart Munitions Test Suite at White Sands Missile Range. Resonances often appear in electro-mechanical systems and tend to reduce the performance of the control tracking algorithms. Hence, automatic resonant cancellation is one of the algorithms that should be considered. In this paper the concept and implementation of automatic resonant cancellation using Genetic Algorithms (GAs) in conjunction with the system identification package and the notch filter developed by the DSP Control Group is presented. A simple GA is used to search for the highest resonant peaks caused by imperfect coupling between motor and load. The search is guided by a fitness function which is the transfer function obtained from a system identification method.

Paper Details

Date Published: 28 July 1997
PDF: 8 pages
Proc. SPIE 3068, Signal Processing, Sensor Fusion, and Target Recognition VI, (28 July 1997); doi: 10.1117/12.280809
Show Author Affiliations
Eric Minh Nguyen, U.S. Army National Range Development Directorate and New Mexico State Univ. (United States)
Nadipuram R. Prasad, New Mexico State Univ. (United States)

Published in SPIE Proceedings Vol. 3068:
Signal Processing, Sensor Fusion, and Target Recognition VI
Ivan Kadar, Editor(s)

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