DocumentCode :
2513347
Title :
Adaline-based speed controller of the drive system with elastic joint
Author :
Kaminski, Marcin ; Orlowska-Kowalska, Teresa
Author_Institution :
Inst. of Electr. Machines, Drives & Meas., Wroclaw Univ. of Technol., Wroclaw, Poland
fYear :
2012
fDate :
24-26 May 2012
Firstpage :
1052
Lastpage :
1057
Abstract :
This paper presents the application of specific type of neural network - ADALINE (Adaptive Linear Neuron) model for speed control of the drive with elastic coupling. Weights coefficients of this speed controller are adapted on-line during the drive system operation. Described control structure is robust against changes of the inertia moment of the loading machine. Besides, important advantage of the tested controller is simplicity of the design process and its practical implementation. Simulation results and experimental verification are presented.
Keywords :
adaptive control; angular velocity control; electric drives; electric machines; machine control; neurocontrollers; robust control; Adaline-based speed controller; adaptive linear neuron model; control structure; design process; drive system; elastic coupling; elastic joint; inertia moment; loading machine; neural network controller; speed control; weights coefficients; Adaptation models; Control systems; DC motors; Mathematical model; Shafts; Torque; Transient analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Optimization of Electrical and Electronic Equipment (OPTIM), 2012 13th International Conference on
Conference_Location :
Brasov
ISSN :
1842-0133
Print_ISBN :
978-1-4673-1650-7
Electronic_ISBN :
1842-0133
Type :
conf
DOI :
10.1109/OPTIM.2012.6231943
Filename :
6231943
Link To Document :
بازگشت