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A Technique in System Identification for Dynamic Mechanical Systems
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Sector:
Event:
Mid-Year Meeting
Language:
English
Abstract
The “identification of systems” is a generalized form of curve fitting pertaining to systems for which a mathematical model is known, and for which input/output data is empirically available, but for which actual values of parameters in the model are unknown and are sought.
A technique for identification (that is, determination of parameters) in second-order, dynamic systems is presented and applied to a typical system; namely, a two-axle rubber-tired vehicle.
The scheme is based on establishing a set of system model equations and their use with system response data to define one or more residue functions in a manner analogous to the defining of an error function in curve-fitting by the collocation method. A performance index is defined by treating the residue as a measure of least squares fit, and the parameters are then determined by finding the set of values which simultaneously makes all the first partial derivatives of this index with respect to the parameters vanish.
The technique is applied to the determination of nine system parameters in a nonlinear, two-degree-of-freedom model of a vehicle/tire suspension system. It is found to yield the correct values to within 5%.
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Authors
Citation
Julien, C. and Hung, H., "A Technique in System Identification for Dynamic Mechanical Systems," SAE Technical Paper 690497, 1969, https://doi.org/10.4271/690497.Also In
References
- Strauss, J. C. “Introduction to Differential Equation Identification by Parameter Optimization.” SARE No. 3 May 1964
- Crandall, S. H. “Engineering Analysis.” New York McGraw-Hill 1956
- Bose, J. E. “Design of Nonlinear Systems Using Numerical Techniques.” Proc. Fluid Power Conference Oklahoma State University July 967
- Beckett R. Hurt, J. “Numerical Calculations and Algorithms.” New York McGraw-Hill 1967 268
- Ralston, A. “A First Course in Numerical Analysis.” New York McGraw-Hill 1965 199