Neural-Network Application for Mechanical Variables Estimation of a Two-Mass Drive System
Orlowska-Kowalska, T.
Szabat, K.
Inst. of Electr. Machines, Drives & Measurements, Tech. Univ. Wroclaw;
This paper appears in: Industrial Electronics, IEEE Transactions on
Publication Date: June 2007
Volume: 54,
Issue: 3
On page(s): 1352-1364
ISSN: 0278-0046
INSPEC Accession Number: 9477516
Digital Object Identifier: 10.1109/TIE.2007.892637
Current Version Published: 2007-04-10
Abstract
This paper deals with the application of neural networks (NNs) to the mechanical state estimation of the drive system with elastic joint. The torsional vibrations of the two-mass system are damped using the control structure with additional feedbacks from the torsional torque and the load-side speed. These feedbacks signals are obtained using NN estimators. The learning procedure of the NNs is described, and the influence of the input vector size to the accuracy of the state-variable estimation is investigated. The neural estimators of the torsional torque and the load machine speed are tested with open-loop and closed-loop control structures. The simulation results are confirmed by laboratory experiments
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