Control of the Drive System With Stiff and Elastic Couplings Using Adaptive Neuro-Fuzzy Approach
Teresa Orlowska-Kowalska
Krzysztof Szabat
Inst. of Electr. Machines, Drives & Measurements, Wroclaw Univ.;
This paper appears in: Industrial Electronics, IEEE Transactions on
Publication Date: Feb. 2007
Volume: 54,
Issue: 1
On page(s): 228-240
ISSN: 0278-0046
INSPEC Accession Number: 9299046
Digital Object Identifier: 10.1109/TIE.2006.888787
Current Version Published: 2007-02-05
Abstract
In the paper a robust control system with the fuzzy-neural network is proposed. A model reference adaptive control system is applied to the one- and two-mass systems. Different aspects of application of the examined control structure are discussed. The influence of the number of neuro-fuzzy controller (NFC) rules to the drive system performance is shown. The impact of the electromagnetic torque limit to the adaptive structure stability is discussed. Further, the comparison of the dynamical characteristics of the different NFC structures is done. The control structure with constant and changeable parameters of the adaptive rule is also examined. The torsional vibration suppression in the two-mass system is obtained in the developed adaptive structure with only one basic feedback from the motor speed
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