TY - GEN
T1 - Self-tuning interval type-2 fuzzy PID controllers based on online rule weighting
AU - Kumbasar, Tufan
AU - Yesil, Engin
AU - Karasakal, Onur
PY - 2013
Y1 - 2013
N2 - In this study, a self-tuning method is proposed for interval type-2 fuzzy PID (IT2FPID) controllers. The proposed method tunes the fuzzy rule weights of the IT2FPID controllers in an on-line manner. The step response of the closed loop system is firstly taken into consideration and the response is divided into certain regions which is equal to the number of fuzzy sets defined for the error input of the IT2FPID controller. Moreover, the relative importance of the activated fuzzy rules is determined for these regions. We will present meta-rules for tuning of the fuzzy rule weights in order to obtain an appropriate control signal that will achieve a satisfactory system response. In this context, we will use two simple functions for the tuning of the rule weights of IT2FPID controller structure. The effectiveness of the proposed self-tuning IT2FPID is demonstrated on a real time ball and beam setup. The results illustrated that the proposed type-2 fuzzy controller gives a simple opportunity to enhance the control performance in comparison with the T1FPID and IT2FPID controller structures.
AB - In this study, a self-tuning method is proposed for interval type-2 fuzzy PID (IT2FPID) controllers. The proposed method tunes the fuzzy rule weights of the IT2FPID controllers in an on-line manner. The step response of the closed loop system is firstly taken into consideration and the response is divided into certain regions which is equal to the number of fuzzy sets defined for the error input of the IT2FPID controller. Moreover, the relative importance of the activated fuzzy rules is determined for these regions. We will present meta-rules for tuning of the fuzzy rule weights in order to obtain an appropriate control signal that will achieve a satisfactory system response. In this context, we will use two simple functions for the tuning of the rule weights of IT2FPID controller structure. The effectiveness of the proposed self-tuning IT2FPID is demonstrated on a real time ball and beam setup. The results illustrated that the proposed type-2 fuzzy controller gives a simple opportunity to enhance the control performance in comparison with the T1FPID and IT2FPID controller structures.
KW - Ball and beam system
KW - Fuzzy rule weighting
KW - Interval type-2 fuzzy PID controllers
KW - Self-tuning
UR - http://www.scopus.com/inward/record.url?scp=84887834971&partnerID=8YFLogxK
U2 - 10.1109/FUZZ-IEEE.2013.6622385
DO - 10.1109/FUZZ-IEEE.2013.6622385
M3 - Conference contribution
AN - SCOPUS:84887834971
SN - 9781479900220
T3 - IEEE International Conference on Fuzzy Systems
BT - FUZZ-IEEE 2013 - 2013 IEEE International Conference on Fuzzy Systems
T2 - 2013 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2013
Y2 - 7 July 2013 through 10 July 2013
ER -