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   Application of Adaptive Neural Controller and Filter Tune for Multi-Mass Drive System   [View] 
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 Author(s)   Tomasz PAJCHROWSKI 
 Abstract   The article presents a comparison of dynamic properties of adaptive neural controller for the system with a complex mechanical structure and variable moment of inertia. Due to presence of several mechanical resonances (since it is a multi-mass system) at higher frequencies two filters were implemented: a simple LPF (Low Past Filter) and Fixed Filter, taking into account the changing parameters. A suitably tuned speed filter is applied to the feedback loop in order to damp the selected resonance frequencies In the paper was placed a results of simulations and laboratory tests with PMSM motor for the multi-mass system of variable parameters 
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Filename:0225-epe2018-full-22141590.pdf
Filesize:345.5 KB
 Type   Members Only 
 Date   Last modified 2019-05-05 by System