Abstract
PID control schemes have been widely used for most industrial processes which are represented by nonlinear systems. However, it is difficult to find an optimal set of PID gains. On the other hand, Cerebellar Model Articulation Controller (CMAC) has been proposed as one of artificial neural networks. This paper presents a new design scheme of intelligent PID controllers whose PID gains are generated by using CMACs. The newly proposed control scheme is numerically evaluated on a simulation example.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
J. G. Ziegler, N. B. Nichols: Optimum settings for Automatic controllers. Trans. ASME, vol. 64. no. 8. (1942) 759–768
K. L. Chien, J. A. Hrones, J. B. Reswick: On the automatic control of generalized passive systems. Trans. ASME vol. 74. (1972) 175–185
Suda: PID control. Asakura Publishing Company (1992)
Rumelhart, D, E., J. L. McCelelland, the PDP Research Group: Parallel distributed processing. MIT Press Cambridge (1986)
Haykin, S.: Neural networks. Macmillan College Publishing Company Inc. New York (1994)
Narendra, K. S., K. Parthasarathy: Identification and control of dynamical systems using neural networks. IEEE Trans. on Neural Networks NN-1 (1990) 1–27
Hunt, K. J., D. Sbarbaro, R. Zbikowski, P. J. Gawthrop: Neural networks for control systems. —A Survey Automatica vol. 28. (1992) 1083–1112
Gupta, M. M., D. H. Rao: Neuro-control systems theory and applications. IEEE Press New York (1993)
J. S. Albus: A new approach to manipulator control cerebellar model articulation control (CMAC): Trans. on ASME, J. of Dynamic Systems, Measurement, and Control, vol. 97. no. 9. (1975) 220–227
J. S. Albus: Data storage in the control cerebellar model articulation control (CMAC). Trans. on ASME, J. of Dynamic Systems, Measurement, and Control, vol. 97. no. 9. (1975) 228–233
T. Yamamoto, M. Kaneda: Intelligent controller using CMACs self-organized structure and its application for a process system. IEICE Trance. Fundamentals, vol. E82-A. no. 5. (1999) 856–860
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yamamoto, T., Kurozumi, R., Fujisawa, S. (2003). A Design of CMAC Based Intelligent PID Controllers. In: Kaynak, O., Alpaydin, E., Oja, E., Xu, L. (eds) Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003. ICANN ICONIP 2003 2003. Lecture Notes in Computer Science, vol 2714. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44989-2_56
Download citation
DOI: https://doi.org/10.1007/3-540-44989-2_56
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40408-8
Online ISBN: 978-3-540-44989-8
eBook Packages: Springer Book Archive