Title :
Velocity Estimation: Assessing the Performance of Non-Model-Based Techniques
Author :
Bascetta, Luca ; Magnani, GianAntonio ; Rocco, Paolo
Author_Institution :
Dipt. di Elettron. e Inf., Politec. di Milano, Milan
fDate :
3/1/2009 12:00:00 AM
Abstract :
The performance of modern motion control systems is strongly related to the resolution of the position sensor and to the digital filtering algorithm used to estimate the velocity. This brief discusses a systematic approach to analyze and assess the performance of non-model-based estimators. A new methodology for the analytical characterization of the velocity estimation error, both in the time and in the frequency domains, is proposed. A case study illustrates how this methodology can be exploited in the analysis of existing velocity measurement systems and/or in the design of a new one.
Keywords :
control engineering computing; filtering theory; frequency-domain analysis; motion control; sensors; digital filtering algorithm; frequency domains; motion control systems; nonmodel-based estimators; nonmodel-based techniques; position sensor; velocity estimation error; Digital filters; error analysis; estimation; finite-impulse response (FIR) digital filters; motor drives; position measurement; velocity measurement;
Journal_Title :
Control Systems Technology, IEEE Transactions on
DOI :
10.1109/TCST.2008.2001054