Robust Adaptive Neural Network Control for XY Table

DOI: 10.4236/ica.2013.43034   PDF   HTML     4,903 Downloads   6,277 Views   Citations


This paper proposed a robust adaptive neural network control for an XY table. The XY table composes of two AC servo drives controlled independently. The neural network with radial basis function is employed for velocity and position tracking control of AC servo drives to improve the system’s dynamic performance and precision. A robust adaptive term is applied to overcome the external disturbances. The stability and the convergence of the system are proved by Lyapunov theory. The proposed controller is implemented in a DSP-based motion board. The validity and robustness of the controller are verified through experimental results.

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N. Giap, J. Shin and W. Kim, "Robust Adaptive Neural Network Control for XY Table," Intelligent Control and Automation, Vol. 4 No. 3, 2013, pp. 293-300. doi: 10.4236/ica.2013.43034.

Conflicts of Interest

The authors declare no conflicts of interest.


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