Title :
Application of fuzzy reasoning on an autonomous robot
Author :
Yang, Qingmei ; Sun, Jiammin
Author_Institution :
Coll. of Autom., Beijing Union Univ., Beijing, China
Abstract :
Fuzzy reasoning has been applied in many fields such as control system, expert system and imagine identification and so on. Kalman filter can be used in information fusion. A fuzzy controller is designed in this paper. It used in Kalman filter on location system of an autonomous robot. The fuzzy Kalman filter can adjust the new information of the Kalman filter to increase the convergence of the filter and improve the precision of the filter when the errors of measure data are big for some reasons. The The fuzzy Kalman filter is simulated with Matlab. The simulation results show that it can increase the precision efficiently.
Keywords :
Kalman filters; control system synthesis; fuzzy control; fuzzy reasoning; mathematics computing; mobile robots; sensor fusion; Matlab simulation; autonomous robot; filter convergence; filter precision; fuzzy Kalman filter; fuzzy controller design; fuzzy reasoning; information fusion; Animal structures; Fuses; Fuzzy reasoning; Information filtering; Information filters; Kalman filters; Robot sensing systems; Robotics and automation; Sensor fusion; Turning; Fuzzy reasoning; Information fusion; Kalman filter; Measure system;
Conference_Titel :
Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-4794-7
Electronic_ISBN :
978-1-4244-4795-4
DOI :
10.1109/ICAL.2009.5262619
