Application of Gradient Search Procedures for the Identification of Unknown System Parameters From System Response Observations

• Published in: Journal of engineering for industry 1972-02, Vol.94 (1), p.109-114
• Main Authors: Laurenson, R. M, Baumgarten, J. R
• Format: Article
• Language: English
• ISSN: 1087-1357; 0022-0817; 1528-8935
• DOI: 10.1115/1.3428098

Techniques for identifying and evaluating the physical parameters of nonlinear dynamic systems have been investigated A method has been developed for converting the measured dynamic response of a system into estimates of its unknown dissipation function. A computational algorithm employing an optimization or gradient search technique was written for determining the unknown system parameters. This procedure uses a least squares criterion function to determine the measure of agreement between the mathematical representation of the system and the physical system. A rather general statement of the nonlinear equation of motion allows a better final determination of the system than that provided by some fixed-form describing function. The technique is especially adaptable to the identification problem of determining the dissipation function of a nonlinear shock absorber.