Title :
Control of the Drive System With Stiff and Elastic Couplings Using Adaptive Neuro-Fuzzy Approach
Author :
Orlowska-Kowalska, Teresa ; Szabat, Krzysztof
Author_Institution :
Inst. of Electr. Machines, Drives & Measurements, Wroclaw Univ.
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
Keywords :
angular velocity control; feedback; fuzzy control; fuzzy neural nets; machine control; model reference adaptive control systems; motor drives; neurocontrollers; robust control; vibration control; adaptive neuro-fuzzy controller; adaptive structure stability; elastic couplings; electromagnetic torque; feedback; model reference adaptive control system; motor drive system; one-mass systems; robust control system; speed controller; stiff couplings; torsional vibration suppression; two-mass systems; Adaptive control; Control systems; Electrical equipment industry; Fuzzy control; Fuzzy logic; Programmable control; Robust control; Stability; Torque; Vibration control; Adaptive controller; elastic joint; electrical drive; fuzzy-neural network; vibration suppression;
Journal_Title :
Industrial Electronics, IEEE Transactions on
DOI :
10.1109/TIE.2006.888787
