Abstract
An application of the Adaptive Tabu Search (ATS), an intelligent search method in industrial control domain, is presented. The ATS is used to search for the optimum controller’s parameters denoted as proportional, integral, and derivative gains. The obtained controllers are tested against some hard-to-be-controlled plants. The results obtained are very satisfactory.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bennett, S.: Development of the PID controller. IEEE Control System Magazine, 58–65 (1994)
Kuo, B.J.: Automatic Control Systems, 8th edn. John Wiley & Sons, Chichester (2003)
Ogata, K.: Modern Control Engineering, 4th edn. Prentice-Hall, Englewood Cliffs (2002)
Dorf, R.C.: Modern Control Systems, 10th edn. Prentice-Hall, Englewood Cliffs (2005)
Ziegler, J.G., Nichols, N.B.: Optimum Settings for Automatic Controllers. Trans. ASME 64, 759–768 (1942)
Cohen, G.H., Coon, G.A.: Theoretical Consideration of Retarded Control. Trans. ASME 75, 827–834 (1953)
Dwyer, A.O.: Handbook of PI and PID Controller Tuning Rules. Imperial College Press, London (2003)
Åström, K.J., Hägglund, T.: Benchmark Systems for PID Control. In: IFAC Digital Control: Past, Present and Future of PID Control, Terrassa, Spain, pp. 165–166 (2000)
Mehrdad, S., Greg, C.: An Adaptive PID Controller based on Genetic Algorithm Processor. In: Proc. IEE Conf. on Genetic Algorithm in Engineering System, pp. 88–93 (1995)
Mitsukura, Y., Yamamoto, T., Kaneda, M.: A Design of Self-tuning PID Controller using a Genetic Algorithm. In: Proc. American Control Conference, pp. 1361–1365 (1999)
Whidborne, J.F.: A Genetic Algorithm Approach to Design Finite-Precision PID Controller Structures. In: Proc. American Control Conference, pp. 4338–4342 (1999)
Puangdownreong, D., Kulworawanichpong, T., Sujitjorn, S.: Finite Convergence and Performance Evaluation of Adaptive Tabu Search. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds.) KES 2004. LNCS (LNAI), vol. 3215, pp. 710–717. Springer, Heidelberg (2004)
Puangdownreong, D., Areerak, K.-N., Srikaew, A., Sujitjorn, S., Totarong, P.: System Identification via Adaptive Tabu Search. In: Proc. IEEE Int. Conf. on Industrial Technology (ICIT’02), vol. 2, pp. 915–920 (2002)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
Puangdownreong, D., Sujitjorn, S. (2007). Obtaining an Optimum PID Controller Via Adaptive Tabu Search. In: Beliczynski, B., Dzielinski, A., Iwanowski, M., Ribeiro, B. (eds) Adaptive and Natural Computing Algorithms. ICANNGA 2007. Lecture Notes in Computer Science, vol 4432. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71629-7_84
Download citation
DOI: https://doi.org/10.1007/978-3-540-71629-7_84
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71590-0
Online ISBN: 978-3-540-71629-7
eBook Packages: Computer ScienceComputer Science (R0)