Robust and Effective PID Controller Identification for Delay Dominant Systems

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A novel PID controller identification method based on internal model control structure is proposed. The proposed method avoids the necessity of approximating the time delay for designing the PID controller. It results in a robust and effective PID controller tuning. The method is effective for both time constant and time delay dominant systems, with much improved performance for the latter case.

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Periodical:

Edited by:

Iqbal Ahmed

Pages:

478-481

Citation:

L. D. Tufa and M. Ramasamy, "Robust and Effective PID Controller Identification for Delay Dominant Systems", Applied Mechanics and Materials, Vol. 625, pp. 478-481, 2014

Online since:

September 2014

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$38.00

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[1] K. G. Papadopoulos, N. I. Margaris: Optimal automatic tuning of active damping PID regulators, Journal of Process Control, In Press, Corrected Proof, Available online 16 February (2013).

[2] S. Alcántara, R. Vilanova, C. Pedret: PID control in terms of robustness/performance and servo/regulator trade-offs: A unifying approach to balanced autotuning, Journal of Process Control, Volume 23, Issue 4, April 2013, Pages 527-542.

[3] I. Boiko: Variable-structure PID controller for level process, Control Engineering Practice, Volume 21, Issue 5, May 2013, Pages 700-707.

DOI: https://doi.org/10.1016/j.conengprac.2012.04.004

[4] O. Karasakal, M. Guzelkaya, I. Eksin, E. Yesil,T. Kumbasar: Online Tuning of ffuzzy PID controllers via rule weighing based on normalized acceleration, Engineering Applications of Artificial Intelligence.

[5] S. Skogestad, Simple analytical rules for model reduction and PID controller tuning. Modelling Identification and Control, Vol. 25, No. 20 (2004), pp.85-120.

[6] C.E. Garcia, M., Morari, Internal Model Control I. A Unifying Review and Some New Reults, Ind. Eng. Che. Process Des. Dev., 21, 308, (1982).

[7] D.E. Rivera, M. Morari, S. Skogestad, Internal Model Control. 4. PID Controller Design, Ind. Eng. Chem. Process Des. Dev., Vol. 25 (1986), pp.252-265.

[8] D.T. Lemma, Direct Synthesis Controller Identification, Advanced Materials Research, Vol. (622- 623) (2013), pp.498-1502.

[9] S.W. Sung, I. Lee, B.K. Lee, On-line process identification and automatic tuning method for PID controllers. Chemical Engineering Science, Vol. 53, No. 10 (1986), 1847-1859.

DOI: https://doi.org/10.1016/s0009-2509(98)00012-8