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   Implementation of Modified MRAC to Drives Control   [View] 
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 Author(s)   P. CrnoĆĄija; Z. Ban 
 Abstract   Model reference adaptive control and self-tuning controller are the most frequently used adaptive methods. Model reference adaptive control with parameter adaptation and self-tuning controller need more iteration for optimal tuning of controller parameters and new tuning of controller parameters for changed plant parameters. The main advantage of a model reference adaptive control scheme with signal adaptation is that it acts optimally in the first change of reference and disturbance value and that it does not need new tuning for changed plant parameters. The implementation of reference model and signal adaptation algorithm for adaptive control of electrical drives is discussed. The basic structure of an MRAC with signal adaptation algorithm is described. The modified structure of a signal adaptation mechanism with adjustable reference model of a plant and/or adjustable observer, which eliminates high frequency oscillation from the plant is described. An MRAC with a modified signal adaptation algorithm has been implemented on a dc motor drive. The presented oscillograms show that the influence of parameter variation and load torque can be quickly and significantly reduced by using the plant reference model and modified signal adaptation algorithm. 
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Filename:EPE2001 - PP01274 - Crnosija.pdf
Filesize:206 KB
 Type   Members Only 
 Date   Last modified 2004-03-11 by System