TY - GEN
T1 - Identification and control design of fuzzy takagi-sugeno model for pressure process rig
AU - Subiantoro, Aries
AU - Yusivar, Feri
AU - Budiardjo, Bagio
AU - Alhamid, Muhammad Idrus
PY - 2013
Y1 - 2013
N2 - The design of an intelligent controller based on fuzzy TS model for a pressure process rig is presented. The proposed controller consists of a fuzzy TS model, a feedback fuzzy TS model, and a low pass filter combined in an internal model control structure. The identification of the fuzzy TS model uses fuzzy clustering technique to mimic the nonlinearity characteristic of the process. Instead of least-squares algorithm, the instrumental variable method is used to estimate the consequent parameters of the fuzzy TS model in order to avoid inconsistency problem. The identified model is validated with the performance indicators variance-accounted-for and root mean square. By using the technique of inverse fuzzy model analytically, the feedback fuzzy controller is designed based on the identified fuzzy TS model. The performance of the proposed controller is verified through experiments at various operating points.
AB - The design of an intelligent controller based on fuzzy TS model for a pressure process rig is presented. The proposed controller consists of a fuzzy TS model, a feedback fuzzy TS model, and a low pass filter combined in an internal model control structure. The identification of the fuzzy TS model uses fuzzy clustering technique to mimic the nonlinearity characteristic of the process. Instead of least-squares algorithm, the instrumental variable method is used to estimate the consequent parameters of the fuzzy TS model in order to avoid inconsistency problem. The identified model is validated with the performance indicators variance-accounted-for and root mean square. By using the technique of inverse fuzzy model analytically, the feedback fuzzy controller is designed based on the identified fuzzy TS model. The performance of the proposed controller is verified through experiments at various operating points.
KW - Fuzzy clustering
KW - Fuzzy takagi-sugeno
KW - Internal model control
KW - Pressure process
UR - http://www.scopus.com/inward/record.url?scp=84871773705&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMR.605-607.1810
DO - 10.4028/www.scientific.net/AMR.605-607.1810
M3 - Conference contribution
AN - SCOPUS:84871773705
SN - 9783037855447
T3 - Advanced Materials Research
SP - 1810
EP - 1818
BT - Advanced Designs and Researches for Manufacturing
T2 - 2nd International Conference on Materials and Products Manufacturing Technology, ICMPMT 2012
Y2 - 22 September 2012 through 23 September 2012
ER -