TY - GEN
T1 - Online rule weighting of fuzzy PID controllers
AU - Karasakal, Onur
AU - Guzelkaya, Mujde
AU - Eksin, Ibrahim
AU - Yesil, Engin
PY - 2010
Y1 - 2010
N2 - In this study, a new weighting method is proposed for the fuzzy rules of the fuzzy PID controllers in an on-line manner. First, the transient phase of the unit response of the closed loop system is taken into consideration and the response is divided into certain regions which are assigned in accordance with the number of membership functions defined for the error input of the fuzzy logic controller. Secondly, the relative importance or influence of the fired fuzzy rules of the fuzzy logic controller are determined for each region and the meta-rules are derived for the adjustment of corresponding fuzzy rule weight values to obtain an efficient and appropriate control signal that will achieve a desired system response. For this purpose, two simple functions based on the absolute value of the normalized system error are used for the assignment of the rule weights by an adequate arrangement in accordance with the meta-rules derived. The effectiveness of the proposed self tuning method is demonstrated on various processes by simulations. The proposed new fuzzy rule weighting method improves the transient response in terms of overshoots, oscillations and settling time.
AB - In this study, a new weighting method is proposed for the fuzzy rules of the fuzzy PID controllers in an on-line manner. First, the transient phase of the unit response of the closed loop system is taken into consideration and the response is divided into certain regions which are assigned in accordance with the number of membership functions defined for the error input of the fuzzy logic controller. Secondly, the relative importance or influence of the fired fuzzy rules of the fuzzy logic controller are determined for each region and the meta-rules are derived for the adjustment of corresponding fuzzy rule weight values to obtain an efficient and appropriate control signal that will achieve a desired system response. For this purpose, two simple functions based on the absolute value of the normalized system error are used for the assignment of the rule weights by an adequate arrangement in accordance with the meta-rules derived. The effectiveness of the proposed self tuning method is demonstrated on various processes by simulations. The proposed new fuzzy rule weighting method improves the transient response in terms of overshoots, oscillations and settling time.
KW - Fuzzy PID controller
KW - Fuzzy rule weighting
KW - Self-tuning
UR - http://www.scopus.com/inward/record.url?scp=78751513639&partnerID=8YFLogxK
U2 - 10.1109/ICSMC.2010.5642306
DO - 10.1109/ICSMC.2010.5642306
M3 - Conference contribution
AN - SCOPUS:78751513639
SN - 9781424465880
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 1741
EP - 1747
BT - 2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010
T2 - 2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010
Y2 - 10 October 2010 through 13 October 2010
ER -