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   Mechanical Parameter Identification for High Performance Drives   [View] 
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 Author(s)   A. Bellini; S. Bifaretti; S. Costantini 
 Abstract   In high performance drives it is important to have a rapid and precise control of the motor rotation speed. To this aim a clean measure of the speed is necessary to have; it is useful to identify the load parameters so to increase the sturdiness of the system and, eventually, proceed to a self-tuning of the speed regulator. This paper proposes to employ a parameter estimator composed by a Steady State Kalman Filter (SSKF) that furnishes dynamic variables (speed and acceleration), and by a Recursive Least Square algorithm (RLS) that provides the load parameter. 
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Filename:EPE2001 - PP00486 - Bellini.pdf
Filesize:161.8 KB
 Type   Members Only 
 Date   Last modified 2004-03-11 by System