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Robust Adaptive Neural Network Control for XY Table

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DOI: 10.4236/ica.2013.43034    4,682 Downloads   5,884 Views   Citations

ABSTRACT

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.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

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.

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