Reduced Gain PI/PID Controllers for FOPTD/SOPTD Processes Under Load Disturbance

1 Åström KJ, Murray RM. Feedback Systems: An Introduction for Scientists and Engineers. Princeton: Princeton University Press; 2008. Search in Google Scholar

2 Seborg DE, Edgar TF, Mellichamp DA, Doyle FJ. Process Dynamics and Control, 4th Edition. New York: Wiley; 2016. Search in Google Scholar

3 Åström KJ, Hägglund T. Advanced PID Control. Research. Triangle Park; 2005. Search in Google Scholar

4 Liu T, Wang QG, Huang HP. A tutorial review on process identification from step or relay feedback test. Journal of Process Control. 2013; 23(10):1597-1623. Search in Google Scholar

5 Skogestad S. Simple analytic rules for model reduction and PID controller tuning. Journal of Process Control. 2003; 13(4):291-309. Search in Google Scholar

6 Ljung L. System Identification: Theory for the User, 2nd Edition. New York: Prentice Hall; 1999. Search in Google Scholar

7 Söderström T, Stoica P. System Identification, 2nd Edition. New York: Prentice Hall; 2001. Search in Google Scholar

8 Ahmed S., Huang B, Shah SL. Novel identification method from step response. Control Engineering Practice. 2007; 15(5):545-556. Search in Google Scholar

9 Ahmed S, Huang B, Shah SL. Identification from step responses with transient initial conditions. Journal of Process Control. 2008; 18(2):121-130. Search in Google Scholar

10 Liu T, Huang B, Qin SJ. Bias-eliminated subspace model identification under time-varying deterministic type load disturbance. Journal of Process Control. 2015; 25:41-49. Search in Google Scholar

11 Hou J, Liu T, Wang QG. Recursive subspace identification subject to relatively slow time-varying load disturbance. International Journal of Control. 2017; 91(3):622-638. Search in Google Scholar

12 Dong S., Liu T, Wang W, Bao J, Cao Y. Identification of discrete-time output error model for industrial processes with time delay subject to load disturbance. Journal of Process Control. 2017; 50:40-55. Search in Google Scholar

13 Li LJ, Dong TT, Zhang S, Zhang XX, Yang SP. Time-delay identification in dynamic processes with disturbance via correlation analysis. Control Engineering Practice. 2017; 62:92-101. Search in Google Scholar

14 Kon J, Yamashita Y, Tanaka T, Tashiro A, Daiguji M. Practical application of model identification based on ARX models with transfer functions. Control Engineering Practice. 2013; 21(2):195-203. Search in Google Scholar

15 Hwang SH, Lai ST. Use of two-stage least-squares algorithms for identification of continuous systems with time delay based on pulse responses. Automatica. 2004; 40 (9):1561-1568. Search in Google Scholar

16 Yan R, Liu T, Chen F, Dong S. Gradient-based step response identification of overdamped processes with time delay. Systems Science & Control Engineering. 2015; 3(1):504-513. Search in Google Scholar

17 RamVD, Chidambaram M. On-line controller tuning for critically damped SOPTD systems. Chemical Engineering Communications. 2014; 202(1):48-58. Search in Google Scholar

18 Du YY, Tsai JS, Patil H, Shieh LS, Chen Y. Indirect identification of continuous-time delay systems from step responses. Applied Mathematical Modelling. 2011; 35(2):594-611. Search in Google Scholar

19 Liu Q, Shang C, Huang D. Efficient low-order system identification from low-quality step response data with rank-constrained optimization. Control Engineering Practice. 2021; 107:104671. Search in Google Scholar

20 Jin Q, Liu Q, Huang B. Control Design for Disturbance Rejection in the Presence of Uncertain Delays. IEEE Transactions on Automation Science and Engineering. 2017; 14(4):1570-1581. Search in Google Scholar

21 Sung SW, Lee J, Lee IB. Process Identification and PID Control. Wiley-IEEE Pres. 2009. Search in Google Scholar

22 Sun L, Xue W, Li D, Zhu H, Su Z. Quantitative tuning of active disturbance rejection controller for FOPTD model with application to power plant control. IEEE Transactions on Industrial Electronics. 2022; 69(1):805-815. Search in Google Scholar

23 O'Dwyer A. Handbook of PI and PID Controller Tuning Rules, 3rd Edition. Imperial College Press; 2009. Search in Google Scholar

24 Dahlin EB. Designing and tuning digital controllers. Instruments and Control Systems. 1968; 41(6):77-83. Search in Google Scholar

25 Rivera DE, Morari M, Skogestad S. Internal model control: PID controller design. Industrial & Engineering Chemistry Process Design and Development. 1986; 25(1):252-265. Search in Google Scholar

26 Veronesi M, Visioli A. Performance Assessment and Retuning of PID Controllers. Industrial & Engineering Chemistry Research. 2009; 48(5):2616-2623. Search in Google Scholar

27 Grimholt C, Skogestad S. Optimal PI and PID control of first-order plus delay processes and evaluation of the original and improved SIMC rules. Journal of Process Control. 2018; 70:36–46. Search in Google Scholar

28 Veronesi M, Visioli A. Improving lambda tuning of PI controllers for load disturbance rejection. In Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA); 2021; 1-6. Search in Google Scholar

29 Hägglund T. A unified discussion on signal filtering in PID control. Control Engineering Practice. 2013; 21(8):994-1006. Search in Google Scholar

30 Oliveira PM, Hedengren JD. An APMonitor temperature lab PID control experiment for undergraduate students. In Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). 2019; 790-797. Search in Google Scholar

31 Veronesi M, Visioli A. On the Selection of Lambda in Lambda Tuning for PI(D) Controllers. IFAC-PapersOnLine. 2020; 53(2):4599-4604. Search in Google Scholar

32 Saxena S, Hote YV. Stabilization of perturbed system via IMC: An application to load frequency control. Control Engineering Practice. 2017; 64:61-73. Search in Google Scholar

33 Pintelon R, Schoukens J. System Identification: A Frequency Domain Approach, 2nd Edition. Wiley; 2012. Search in Google Scholar

34 Rzońca D, Sadolewski J, Stec A, Świder Z, Trybus B, Trybus L. Developing a multiplatform control environment. Journal of Automation, Mobile Robotics and Intelligent Systems. 2019; 13(4):73-84. Search in Google Scholar

35 EN 61131-3, Programmable controllers – Part 3: Programming languages (IEC 61131-3:2013), International Standard; 2013. Search in Google Scholar