Abstract
We propose an improved auto-tuning Ziegler-Nichols PID (ZNPID) controller. The proposed controller is a Fuzzy self-tuning ZNPID controller (FST-ZNPID). Conventional Ziegler-Nichols tuned PI and PID controllers provide poor performance for non-linear and high-order systems. In FST-ZNPID enhanced performance is obtained by continuous modification of the proportional constant depending on the process trend. In the proposed FST-ZNPIDC an online auto-tuning factor ‘α’ is incorporated, which is derived by firing 25 fuzzy rules defined on the process error and change of error. Performance of the proposed controller (FST-ZNPID) is tested and compared with other reported works for high-order linear and non-linear dead time systems under both set point change and load disturbance. The developed controller is found to be robust with considerable changes in the process dead time.
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.
Similar content being viewed by others
References
Shinsky, F.G.: Process control systems — application, design, and tuning. McGraw-Hill, New York (1998)
Astrom, K.J., Hang, C.C., Person, P., Ho, W.K.: Towards intelligent PID control. Automatica 28(1), 1–9 (1992)
Seborg, D.E., Edgar, T.F.: Adaptive control strategies for process control: A survey. AICHE J. 32(6), 881–913 (1986)
Kristiansson, B., Lennartson, B.: Robust and optimal tuning of PI and PID controllers. IEE Proc. Control Theory Appl. 149(1), 17–25 (2002)
Dey, C., Mudi, R.K.: An improved auto-tuning scheme for PID controllers. ISA Trans. 48(4), 396–409 (2009)
Mudi, R.K., Dey, C.: Performance improvement of PI controllers through dynamic set-point weighting. ISA Transactions 50, 220–230 (2011)
Dey, C., Mudi, R.K., Lee, T.T.: Dynamic set-point weighted PID controller. Control and Intelligent Systems 37(4), 212–219 (2009)
Mudi, R.K., Dey, C., Lee, T.T.: An improved auto-tuning scheme for PI controllers. ISA Transactions 47, 45–52 (2008)
Mudi, R.K., Pal, N.R.: A robust self-tuning scheme for PI and PD type fuzzy controllers. IEEE Trans Fuzzy Syst. 7(1), 2–16 (1999)
Mudi, R.K., De Maity, R.R.: A Noble Fuzzy Self-Tuning Scheme for Conventional PI Controller. In: Satapathy, S.C., Udgata, S.K., Biswal, B.N. (eds.) Proceedings of Int. Conf. on Front. of Intell. Comput. AISC, vol. 199, pp. 83–91. Springer, Heidelberg (2013)
Mudi, R.K., Pal, N.R.: A self-tuning fuzzy PD controller. IETE J. Res. 44(4-5), 177–189 (1998)
Mudi, R.K., Pal, N.R.: A Self-Tuning Fuzzy PI Controller. Fuzzy Sets and Systems 115, 327–338 (2000)
Ziegler, J.G., Nichols, N.B.: Optimum settings for automatic controllers. ASME Trans. 64, 759–768 (1942)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
De (Maity), R.R., Mudi, R.K. (2014). Fuzzy Self-tuning of Conventional PID Controller for High-Order Processes. In: Satapathy, S., Udgata, S., Biswal, B. (eds) Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2013. Advances in Intelligent Systems and Computing, vol 247. Springer, Cham. https://doi.org/10.1007/978-3-319-02931-3_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-02931-3_6
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02930-6
Online ISBN: 978-3-319-02931-3
eBook Packages: EngineeringEngineering (R0)