A Review on Tuning Methods for PID Controller

  • Sangram Bharat
  • Arunangshu Ganguly
  • Rohit Chatterjee
  • Biswajit Basak
  • Deb Kumar Sheet
  • Anirban Ganguly

Abstract

PID controller tuning is important for having
minimal overshoot in steady state response and lesser settling time.
Apart from two conventional methods of tuning such as Ziegler
Nichols closed loop oscillation and Cohen-Coon’s process reaction
curve method there are other methods such as fuzzy set-point weight
(FSPW) tuning and genetic algorithm (GA) are drawing the interest
of researchers. This reports a survey on works related to PID
controller tuning methods using fuzzy-logic and GA. A comparison
is made between conventional two methods and fuzzy-logic based
tuning methods through simulation using MATLAB Simulink.

Keywords: PID controller; Ziegler Nichol’s (ZN) method; process reaction curve; FSPW; GA; Simulink.

References

[1] J. Kaloust and Z. Qu, "Robust control design for nonlinear uncertain
systems with an unknown time-varying control direction," in IEEE
Transactions on Automatic Control, vol. 42, no. 3, pp. 393-399, March
1997.
[2] G. Grimm, M. J. Messina, S. E. Tuna and A. R. Teel, "Nominally Robust
Model Predictive Control With State Constraints," in IEEE Transactions
on Automatic Control, vol. 52, no. 10, pp. 1856-1870, Oct. 2007.
[3] D. A. Linkens, M. Mahfouf and M. Abbod, "Self-adaptive and selforganising
control applied to nonlinear multivariable anaesthesia: a
comparative model-based study," in IEE Proceedings D - Control
Theory and Applications, vol. 139, no. 4, pp. 381-394, July 1992.
[4] Lipták Béla G., Process control. Boca Raton, FL: CRC Press, 2000.
[5] R. Ramachandran, B. Madasamy, V. Veerasamy and L. Saravanan,
"Load frequency control of a dynamic interconnected power system
using generalised Hopfield neural network based self-adaptive PID
controller," in IET Generation, Transmission & Distribution, vol. 12, no.
21, pp. 5713-5722, 27 11 2018.
[6] E. Oliveira Freire, F. G. Rossomando and C. M. Soria, "Self-tuning of a
Neuro-Adaptive PID Controller for a SCARA Robot Based on Neural
Network," in IEEE Latin America Transactions, vol. 16, no. 5, pp. 1364-
1374, May 2018.
[7] A. Dehghani and H. Khodadadi, "Designing a neuro-fuzzy PID
controller based on smith predictor for heating system," 2017 17th
International Conference on Control, Automation and Systems (ICCAS),
Jeju, 2017, pp. 15-20.
[8] J.G. Ziegler and N. B. Nichols, “Optimum settings for automatic
controllers,” Transactions of the ASME, vol. 64, pp. 759–768, 1942.
[9] G.H. Cohen and G.A. Coon, Theoretical Consideration of Retarded
Control, Trans. ASME, 75, pp. 827-834, 1953.
[10] A. Visioli, "Fuzzy logic based set-point weight tuning of PID
controllers," in IEEE Transactions on Systems, Man, and Cybernetics -
Part A: Systems and Humans, vol. 29, no. 6, pp. 587-592, Nov. 1999.
[11] G. Mallesham and A. Rajani, “Automatic Tuning of PID Controller
using Fuzzy Logic,” in proc. of 8th International Conference on
Development and Application Systems, Suceava, Romania, May , 2006.
[12] M. J. Neath, A. K. Swain, U. K. Madawala and D. J. Thrimawithana,
"An Optimal PID Controller for a Bidirectional Inductive Power
Transfer System Using Multiobjective Genetic Algorithm," in IEEE
Transactions on Power Electronics, vol. 29, no. 3, pp. 1523-1531,
March 2014
[13] Porter, Brenda & A.H. Jones, “Genetic tuning of digital PID
controllers,” in Electronics Letters, vol. 28, no. 9, pp. 843 – 844, 1992.
[14] K. Valarmathi, D. Devaraj & T. Radhakrishnan, “ Adaptive Enhanced
Genetic Algorithm-Based Proportional Integral Controller Tuning for pH
Process,” in Instrumentation Science & Technology - INSTRUM SCI
TECHNOL, vol. 35, no. 6, pp. 619-635, 2007.
[15] D. Devaraj & B. Selvabala, “Real-coded genetic algorithm and fuzzy
logic approach for real-time tuning of proportional-integral - derivative
controller in automatic voltage regulator system,” in IET Generation,
Transmission & Distribution, vol. 3, no. 7, pp. 641 – 649, 2009.
Statistics
0 Views | 0 Downloads
How to Cite
Bharat, S., Ganguly, A., Chatterjee, R., Basak, B., Sheet, D. K., & Ganguly, A. (2019). A Review on Tuning Methods for PID Controller. Asian Journal For Convergence In Technology (AJCT). Retrieved from http://asianssr.org/index.php/ajct/article/view/731
Section
Article