Title :
Distance measurement for tower crane obstacle based on multi-ultrasonic sensors
Author :
Lichen Gu ; Xueqin Kou ; Jia, Jia
Author_Institution :
Sch. of Mech. & Electron. Eng., Xi´´an Univ. of Archit. & Technol., Xi´´an, China
Abstract :
Aiming at the anti-collision monitoring of tower crane, the models of state equation and observation equation for obstacle are established, and distance measurement method based on ultrasonic sensor for tower crane obstacle is proposed. According to the multi-sensor information fusion theory and obstacle kinematic model, Kalman filter principle is used to respectively deal with single ultrasonic sensor information and multi-ultrasonic sensor information fusion, then those simulation and experiments results are analyzed and contrasted. The results show that multi-sensor distance measurement is more accurate and stable than single sensor distance measurement, and verify the feasibility and superiority of multi-sensor information fusion theory in tower crane anti-collision applications.
Keywords :
Kalman filters; collision avoidance; cranes; distance measurement; poles and towers; sensor fusion; ultrasonic measurement; Kalman filter; anticollision monitoring; distance measurement; multisensor information fusion theory; multiultrasonic sensors; observation equation; obstacle kinematic model; state equation; tower crane obstacle; Acoustics; Cranes; Distance measurement; Kalman filters; Poles and towers; Sensor fusion;
Conference_Titel :
Automation Science and Engineering (CASE), 2012 IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-0429-0
DOI :
10.1109/CoASE.2012.6386344