Abstract
A model following adaptive control based on neural network for the electro-hydraulic servo system (EHSS) subjected to varied load is proposed. This proposed control utilizes multiple neural networks including a neural controller, a neural emulator and a neural tuner. The neural controller with specialized learning architecture utilizes a linear combination of error and the error’s derivative to approximate the back propagation error for weights update. The neural tuner is designed to adjust the parameters of the linear combination. The neural emulator is used to approximate the Jacobian of plant. The control of the hydraulic servo actuator is investigated by simulation and experiment, and a favorable model-following characteristic is achieved.
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References
Zhang, Y., Sen, P., Hearn, G.E.: An on-line Trained Adaptive Neural Network. IEEE, Control Systems Magazine 15(5), 67–75 (1995)
Lin, F.J., Wai, R.J.: Hybrid Controller using a Neural Network for a PM Synchronous Servo-Motor Drive. IEE, Proceedings of Electric Power Applications 145(3), 223–230 (1998)
Omatu, S., Yoshioka, M.: Self-tuning neuro-PID control and applications. In: IEEE, International Conference on Systems, Man, and Cybernetics, Computational Cybernetics and Simulation, vol. 3, pp. 1985–1989 (1997)
Omatu, S., Fujinaka, T., Yoshioka, M.: Neuro-PID control for inverted single and double pendulums. In: IEEE, International Conference on Systems, Man, and Cybernetics, vol. 4, pp. 2685–2690 (2000)
Gao, J.C., Wu, P.: A Fuzzy Neural Network Controller in the Electrohydraulic Position Control System. In: IEEE, International Conference on Intelligent Processing Systems, vol. 1, pp. 58–63 (1997)
Chu, M.H., Kang, Y., Chang, Y.F., Liu, Y.L., Chang, C.W.: Model-Following Controller based on Neural Network for Variable Displacement Pump. JSME, International Journal (series C) 46(1), 176–187 (2003)
Narendra, K.S., Parthasarathy, K.: Identification and control of dynamical systems using neural networks. IEEE, Neural Networks 1(1), 4–27 (1990)
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© 2005 Springer-Verlag Berlin Heidelberg
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Kang, Y., Chu, MH., Liu, YL., Chang, CW., Chien, SY. (2005). An Adaptive Control Using Multiple Neural Networks for the Position Control in Hydraulic Servo System. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539117_44
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DOI: https://doi.org/10.1007/11539117_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28325-6
Online ISBN: 978-3-540-31858-3
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