Samopodešavanje PID kontrolera pomoću veštačke inteligencije
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Jul 7, 2017
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Apstrakt
U ovom radu je predstavljeno automatsko podešavanje parametara PID regulatora upotrebom veštačke inteligencije sa primenom u KGH sistemima. Parametri su podešavani koršćenjem genetskog algoritma i PSO algoritma, čija je efikasnost u pronalaženju optimalnih rešenja ocenjena pomoću fuzzy logike. Rezultati su verifikovani na primeru regulacije pritiska vazduha koji se iz klima komore distribuira ka termalnim zonama objekta.
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Kako citirati
ČONGRADAC, Velimir; LAZAREVIĆ, Slađana; BOJANIĆ, Dubravka.
Samopodešavanje PID kontrolera pomoću veštačke inteligencije.
Zbornik Međunarodnog kongresa i izložbe o KGH, [S.l.], v. 47, n. 1, p. 393-399, july 2017.
Dostupno na: <https://izdanja.smeits.rs/index.php/kghk/article/view/2735>. Datum pristupa: 16 oct. 2026
Sekcija
Predviđanje i validacija sistema za KGH
Reference
[1] Bi, Q., et. al., Advanced controller auto-tuning and its application in HVAC systems, Control Engineering Practice, Vol. 8 (2000), pp. 633-644
[2] Yu, C. C., Autotuning of PID Controllers: A Relay Feedback Approach, 2nd Edition, Springer, 2006
[3] Tan, K.K., Ferdous, R., Huang, S., Closed-loop automatic tuning of PID con-troller for nonlinear systems, Chemical Engineering Science, Vol. 57 (2002), pp. 3005-3011
[4] Alagoz, B. B., Ates, A., Yeroglu, C., Auto-tuning of PID controller according to fractional-order reference model approximation for DC rotor control, Mec-hatronics, Vol. 23 (2013), pp. 789-797
[5] Tavakoli, S., Griffin, I., Fleming, P. J., Tuning of decentralized PI (PID) con-trollers for TITO processes, Control Engineering Practice Vol. 14 (2006), pp. 1069-1080
[6] Wang, Y. G., Shao, H. H., PID auto-tuner based on sensitivity specification, Trans IChemE, Vol. 78 (2000), pp. 312-316
[7] Huang, W., Lam, H. N., Using genetic algorithms to optimize controller parameters for HVAC systems, Energy and Buildings, Vol. 26, pp. 277-282
[8] Sharkawy, A. B., Genetic fuzzy self-tuning PID controllers for antilock braking systems, Engineering Applications of Artificial Intelligence, Vol. 23 (2010), pp. 1041-1052
[9] Omar, M. H. T., Ali, W. M., Mostafa, M. Z., Auto Tuning of PID Controller Using Swarm Intelligence, International Review of Automatic Contrl, Vol. 4, No. 3 (2011), pp. 319-327
[10] Pavković, D., Polak, S., Zorc, D., PID controller auto-tuning based on pro-cess step response and damping optimum criterion, ISA Transactions, Vol. 53 (2014), pp. 85-96
[11] Boiko, I., Self-tuning PI controller, IFAC Symposium on Power Plants and Power Systems Control, Kananaskis, Canada, 2006
[2] Yu, C. C., Autotuning of PID Controllers: A Relay Feedback Approach, 2nd Edition, Springer, 2006
[3] Tan, K.K., Ferdous, R., Huang, S., Closed-loop automatic tuning of PID con-troller for nonlinear systems, Chemical Engineering Science, Vol. 57 (2002), pp. 3005-3011
[4] Alagoz, B. B., Ates, A., Yeroglu, C., Auto-tuning of PID controller according to fractional-order reference model approximation for DC rotor control, Mec-hatronics, Vol. 23 (2013), pp. 789-797
[5] Tavakoli, S., Griffin, I., Fleming, P. J., Tuning of decentralized PI (PID) con-trollers for TITO processes, Control Engineering Practice Vol. 14 (2006), pp. 1069-1080
[6] Wang, Y. G., Shao, H. H., PID auto-tuner based on sensitivity specification, Trans IChemE, Vol. 78 (2000), pp. 312-316
[7] Huang, W., Lam, H. N., Using genetic algorithms to optimize controller parameters for HVAC systems, Energy and Buildings, Vol. 26, pp. 277-282
[8] Sharkawy, A. B., Genetic fuzzy self-tuning PID controllers for antilock braking systems, Engineering Applications of Artificial Intelligence, Vol. 23 (2010), pp. 1041-1052
[9] Omar, M. H. T., Ali, W. M., Mostafa, M. Z., Auto Tuning of PID Controller Using Swarm Intelligence, International Review of Automatic Contrl, Vol. 4, No. 3 (2011), pp. 319-327
[10] Pavković, D., Polak, S., Zorc, D., PID controller auto-tuning based on pro-cess step response and damping optimum criterion, ISA Transactions, Vol. 53 (2014), pp. 85-96
[11] Boiko, I., Self-tuning PI controller, IFAC Symposium on Power Plants and Power Systems Control, Kananaskis, Canada, 2006