ANALYSIS OF NON-INTERACTING LEVEL PROCESS USING VARIOUS PI CONTROL SETTINGS: A COMPARATIVE STUDY
Keywords:
Abstract
This study presents a comparative analysis of different proportional-integral (PI) controller tuning methods for the control of a non-interacting liquid level process. Four different PI controller tuning methods, Ziegler-Nichols, Cohen-Coon, Tyreus-Luyben, and Internal Model Control, are evaluated based on their ability to track setpoint changes and reject disturbances. The simulation results show that all four tuning methods can provide satisfactory performance, but the Internal Model Control method outperforms the others in terms of all performance metrics evaluated. The Ziegler-Nichols method produces the worst performance, while the Cohen-Coon and Tyreus-Luyben methods perform better but still have limitations. This study highlights the importance of choosing the appropriate tuning method for liquid level control systems.
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References
• blog.opticontrols.com/archives/105,” A Tutorial on NON-INTERACTING PROCESS”
• P V Aravind, Balachandra Pattanaik, “Reliability of PID Controller for a Real Time Sensor Interfaced
• Temperature Process”, Sensor and Journal, IFSA Publishing, ISSN(print): 2306-8515,ISSN(online):1726- 5479, Volume 231, Issue 3, Page No: 10-14, March 2019.
• Mohammad Shahrokhi and Alireza Zomorrodi, “Comparison of PID Controller Tuning Methods “, 2012
• Ogata K.”Modern Control Engineering”, 1997, 3rd edition, PrenticeHall.
• Coughanowr D.R.;”Process System Analysis and Control”, 2nd edition McGrawHill, 1991
• P Aravind, Naveen Kumar A B, “Design of State Feedback Control for a FOPDT System”, International Journal of Interdisciplinary Current Advanced Research, ISSN(print): 2663-0931,ISSN(online):2663-2594, Volume 1, Issue 1, Page No: 1 – 4, January 2019.
• Bing Song, Shuai Tan, Hongbo Shi, Key principal components with recursive local outlier factor for multimode chemical process monitoring, Journal of Process Control, Volume 47, November 2016, Pages 136–149, 2016.
• Ana S.R. Brásio, Andrey Romanenko, Natércia C.P. Fernandes, Lino O. Santos, First principle modeling and predictive control of a continuous biodiesel plant, Journal of Process Control, Volume 47, Pages 11–21,2016.
• D. Dinesh Kumar, B. Meenakshipriya , Design of Heuristic Algorithm for Non-linear System, Rev. Téc. Ing. Univ. Zulia. Volume 39, No 6, Pages 10 – 15, 2016.
• Murillo-Marrodan, A.; Garcia, E. & Cortes, F, A Study of Friction Model Performance in a Skew Rolling Process Numerical Simulation, International Journal of Simulation Modelling, Volume 17, Number 4 Pages 569-582, 2018.
• S. Ramachandran , P.Aravind, V.Venkataraman, G.Subramanian, “Validation of a Neural Network Model for a Nonlinear Process by Parameter Estimation”, International Journal of Applied Engineering Research, Volume 9, Number 24 , Pages 29051-29062, ISSN 0973-4562, 2014
