Analysis of Algorithms for Velocity Estimation from Discrete Position Versus Time Data

Authors

Ronald H. Brown, Marquette UniversityFollow
Susan C. Schneider PhD, Marquette UniversityFollow
Michael G. Mulligan, Marquette University

Document Type

Article

Language

eng

Publication Date

2-1992

Publisher

Institute of Electrical and Electronic Engineers (IEEE)

Source Publication

IEEE Transactions on Industrial Electronics

Source ISSN

0278-0046

Abstract

Algorithms for constructing velocity approximations from discrete position versus time data are investigated. The study is limited to algorithms suitable to provide velocity information in discrete-time feedback control systems such as microprocessor-based systems with a discrete position encoder. Velocity estimators based on lines per period, reciprocal-time, Taylor series expansion, backward difference expansions, and least-square curve fits are presented. Based on computer simulations, comparisons of relative accuracies of the different algorithms are made. The least-squares velocity estimators filtered the effect of imperfect measurements best, whereas the Taylor series expansions and backward difference equation estimators respond better to velocity transients.

Comments

Published version. IEEE Transactions on Industrial Electronics, Vol. 39, No. 1 (February 1992): 11-19. DOI. © 1992 Institute of Electrical and Electronic Engineers (IEEE).

Recommended Citation

Brown, Ronald H.; Schneider, Susan C. PhD; and Mulligan, Michael G., "Analysis of Algorithms for Velocity Estimation from Discrete Position Versus Time Data" (1992). Electrical and Computer Engineering Faculty Research and Publications. 587.
https://epublications.marquette.edu/electric_fac/587