TY - GEN
T1 - Decoupling design of rolling aircraft using adaptive neuro-fuzzy inference systems based on T-S model
AU - Guo, Jie
AU - Xu, Qian
AU - Zhang, Jingnan
AU - Tang, Shengjing
PY - 2012
Y1 - 2012
N2 - Considering the coupling problem which is adverse to the control performance of rolling aircraft system, a dynamic decoupling method is proposed combining the feedforward compensation decoupling method and the adaptive neuro-fuzzy inference system. First, the decoupling compensation principle is deduced under the feedforward decoupling framework. And then, the adaptive neuro-fuzzy inference system based on Takagi-Sugeno model is adopted to approximate the decoupling compensation principle. At last, the trained adaptive neuro-fuzzy inference system is used as the dynamic decoupling compensator in series form. A design example of actuator link in rolling aircraft is employed to verify the validity of this method. The simulation results indicate that this method can obtain good decoupling performance in both dynamic and steady responses when it is incapable to get the accurate system model.
AB - Considering the coupling problem which is adverse to the control performance of rolling aircraft system, a dynamic decoupling method is proposed combining the feedforward compensation decoupling method and the adaptive neuro-fuzzy inference system. First, the decoupling compensation principle is deduced under the feedforward decoupling framework. And then, the adaptive neuro-fuzzy inference system based on Takagi-Sugeno model is adopted to approximate the decoupling compensation principle. At last, the trained adaptive neuro-fuzzy inference system is used as the dynamic decoupling compensator in series form. A design example of actuator link in rolling aircraft is employed to verify the validity of this method. The simulation results indicate that this method can obtain good decoupling performance in both dynamic and steady responses when it is incapable to get the accurate system model.
KW - decoupling
KW - feedforward compensation
KW - fuzzy inference system
KW - rolling aircraft
UR - http://www.scopus.com/inward/record.url?scp=84872938194&partnerID=8YFLogxK
U2 - 10.1109/FSKD.2012.6233769
DO - 10.1109/FSKD.2012.6233769
M3 - Conference contribution
AN - SCOPUS:84872938194
SN - 9781467300223
T3 - Proceedings - 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012
SP - 339
EP - 343
BT - Proceedings - 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012
T2 - 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012
Y2 - 29 May 2012 through 31 May 2012
ER -