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Performance Comparison of Different Controllers for Flow Process

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 90 - Number 19
Year of Publication: 2014
S. Abirami
H. Kala
P. B. Nevetha
B. Pradeepa
R. Kiruthiga
P. Sujithra

S.abirami, H.kala, P.b.nevetha, B.pradeepa, R.kiruthiga and P.sujithra. Article: Performance Comparison of Different Controllers for Flow Process. International Journal of Computer Applications 90(19):17-21, March 2014. Full text available. BibTeX

	author = {S.abirami and H.kala and P.b.nevetha and B.pradeepa and R.kiruthiga and P.sujithra},
	title = {Article: Performance Comparison of Different Controllers for Flow Process},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {90},
	number = {19},
	pages = {17-21},
	month = {March},
	note = {Full text available}


This paper deals with the improvement of diverse control techniques for flow control process. The different controllers are Proportional Integral Derivative controller (PID), Model Predictive Controller (MPC) and Internal Model Controller (IMC) which are computer-generated in Matlab environment. The three parameters of PID controller ought to be tuned to the process to achieve a reasonable closed loop process performance. Here the performance study of the conventional PID controller,Internal model controller and model predictive controller has been bring into play of Matlab and Simulink. The evaluation of various time domain parameters is done to establish that the Model predictive controller has petite overshoot and rapid response as compared to PID controller and IMC based PID controller. The performance evaluation demonstrates a good relationship between PID,MPC and IMC controller.


  • Wayne Bequette: Process Control Modeling, Design, and Simulation PHI 2003.
  • George Stephanopoulos: Chemical Process Control . An Introduction to theory and Practice PHI 2004
  • Heikki N. Koivo and Anna Reijonen" Tuning of PID Controllers for Varying Time- Delay Systems," IEEE Trans. on, pp. 446-451, 2004.
  • Ramon Vilanova," PID Controller Tuning Rules for Robust step response of First-Order-Plus-Dead-Time models," IEEE Trans. on, pp. 256-261, 2006.
  • Process dynamics and control By Dale E Seborg, Mellichamp and Edgar.
  • Rahul Shridhar , Douglas J. Cooper, "A Tuning Strategy for Unconstrained Multivariable MPC," Ind. Eng. Chern. Res, vol. 37, pp. 4003-4016, 1998.
  • E. F. Camacho, Carlos Bordons, "Model Predictive Control," 2nd edition, Springer, 2004
  • Skogested. S, "Simple analytic rules for model reduction and PID controller tuning", Journal Process Control, 2003.
  • Sukanya R. Warier, Sivanandam Venkatesh , "Design of Controllers based on MPC for a Conical Tank System," IEEE-International Conference On Advances In Engineering, Science And Management , pp. 309-313, March 2012.
  • V. R. Ravi, T. Thyagarajan, M. Monika Darshini , "A Multiple Model Adaptive Control Strategy for Model Predictive controller for Interacting Non Linear Systems" International Conference on Process Automation,
  • Mohammad Shahrokhi and Alireza Zomorrodi, "Comparison of PID Controller Tuning Methods"