Adaptive Neural Network Control for X-Y NC Position Table

Abstract:

An adaptive neural network control scheme for X-Y position table is proposed by the paper. X-Y position table model is established, controller based on neutral network is used to learn adaptive and compensate uncertainty model of X-Y position table, neutral network is used to study model. Neural network parameters base on stochastic gradient algorithm can be adjusted adaptive on line. Neural network controller base on augmented variable method is designed.

• Periodical: Key Engineering Materials (Volumes 589-590)
• Pages: 654-657
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.589-590.654
• Online since: October 2013
• Authors: Wen Hui Zhang
• Keywords: Adaptive Co, Neural Network (NN), PID Control, X-Y NC Position Table

References

[1] Amor J, William A. IEEE Transactions on Instrumentation and Measurement, Vol. 54(2005), p.1200.

[2] Farzaneh A, Talebi H A and Rajnikant V. IEEE Trans on Neural Networks, Vol. 17, (2005), p.118.

[3] Dubowsky S, Papadopoulos E G. IEEE Trans on Robotics and Automation, Vol. 9(1993), p.531.

[4] Feng B M, Ma G C. Xie W N, Wang C H. Journal of Astronautics in Chinese, Vol. 28 (2007), p.149.

[5] Wang Z H, Wang X S, Xu W L. Journal of Southeast University, Vol. 32(2002), p.69.

[6] Wei L X, Tian X J, Wang H R, et al. Electric drive, Vol. 11(2009), p.59.

[7] Wen S H, Qiang G B. Machine and Hydraulic in Chinese, , Vol. 33, (2009), p.117.

[8] Niu Y G, Wang X Y and Hu C. Shanghai: China, (2002), p. (1980).