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http://dx.doi.org/10.5391/IJFIS.2009.9.4.294

Implementation of an Adaptive Robust Neural Network Based Motion Controller for Position Tracking of AC Servo Drives  

Kim, Won-Ho (Department of Mechatronics Engineering, Dong-Eui University)
Publication Information
International Journal of Fuzzy Logic and Intelligent Systems / v.9, no.4, 2009 , pp. 294-300 More about this Journal
Abstract
The neural network with radial basis function is introduced for position tracking control of AC servo drive with the existence of system uncertainties. An adaptive robust term is applied to overcome the external disturbances. The proposed controller is implemented on a high performance digital signal processing DSP TMS320C6713-300. The stability and the convergence of the system are proved by Lyapunov theory. The validity and robustness of the controller are verified through simulation and experimental results
Keywords
Adaptive Robust Neural Network; AC Servo Drives; DSP based; Motion Controller;
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