Volume 7 Number 9 (Sep. 2012)
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JCP 2012 Vol.7(9): 2168-2175 ISSN: 1796-203X
doi: 10.4304/jcp.7.9.2168-2175

Parameter Auto-tuning Method Based on Selflearning Algorithm

Chaohua Ao1, Jianchao Bi2
1Dept. of Automation, Chongqing Industry Polytechnic College, Chongqing, China
2College of Automation, Chongqing University, Chongqing, China


Abstract—The central air condition system is a complex system. Aimed at the puzzle of optimal status adjusting by once setting parameter of fuzzy PID, the paper proposed a sort of parameter auto-tuning method of fuzzy-PID based on self-learning algorithm. It adopted parameter autotuning technique to adjust the PID parameters in real time so as to ensure good quality of control system. It combined fuzzy logic control with classical PID control, and then made the fuzzy auto-tuning of PID parameter on line, after that, the parameters of adjusted system were switched to the natural work status. Once the change of system performance occurred, and it went beyond the specified range, then the system would automatically start the parameter tuning process of PID. The engineering practice shows that the retuned parameters could obtain better control effect than before, therefore the system performance is greatly enhanced, and it is higher in control accuracy, better in stability, stronger in robustness.

Index Terms—Parameter auto-tuning, fuzzy PID controller, self-learning algorithm.

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Cite: Chaohua Ao, Jianchao Bi, "Parameter Auto-tuning Method Based on Selflearning Algorithm," Journal of Computers vol. 7, no. 9, pp. 2168-2175, 2012.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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