Title :
Fuzzy Closed-loop H-infinity Filter for SINS/OD Integration in Land Vehicles
Author :
Zhou Benchuan ; Cheng Xianghong
Author_Institution :
Southeast Univ., Nanjing, China
Abstract :
In SINS/OD land vehicle system, H-infinity filter (HF) has better robustness than Kalman filter (KF) in the actual environmental uncertain interferences, but its low precision confines the application field. Closed-loop feedback system (CFS) and fuzzy inference system (FIS) are introduced into the traditional HF, a new fuzzy closed-loop H-infinity filtering algorithm is proposed in this paper. The fuzzy closed-loop H-infinity filter corrects system internal state through CFS, and it adjusts filtering gain matrix adaptively through FIS to further inhibit the uncertain interferences, thereby, improves the navigational precision and reliability. Finally, the vehicle experiment results illustrated that the filter proposed in this paper had higher precision and robustness than KF and HF.
Keywords :
H¿ control; Kalman filters; closed loop systems; filtering theory; fuzzy reasoning; inertial navigation; reliability; road traffic; Kalman filter; SINS/OD integration; SINS/OD land vehicle system; closed loop feedback system; filtering gain matrix; fuzzy closed loop H-infinity filtering algorithm; fuzzy inference system; odometer; reliability; strap down inertial navigation system; Adaptive filters; Feedback; Filtering algorithms; Fuzzy systems; H infinity control; Hafnium; Interference; Land vehicles; Robustness; Silicon compounds; Closed-loop Feedback System; Fuzzy Inference System; H-infinity Filter; Kalman Filter; Uncertain Interference;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location :
Changsha City
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
DOI :
10.1109/ICMTMA.2010.454