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   Application of Adaptive Neural Controller for Drive with Elastic Shaft and Variable Moment of Inertia   [View] 
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 Author(s)   Krzysztof ZAWIRSKI 
 Abstract   In the paper an application of adaptive neural controller for electrical drive with elastic connection between motor and the driven mechanism with variable moment of inertia is presented. Due to presence of several mechanical resonances (since it is a multi-mass system) at higher frequencies, a suitably tuned speed filter is applied to the feedback loop in order to damp the selected resonance frequencies. This approach allows to improve the control properties. The speed controller is designed as a neural controller, which allows to remain properties of the control process irrespective of the moment of inertia. The collected results of simulation and experiment confirm the proper operation of the control system. 
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Filename:0529-epe2015-full-09190166.pdf
Filesize:1.323 MB
 Type   Members Only 
 Date   Last modified 2016-06-08 by System