DocumentCode :
1677632
Title :
Configuration control of a forklift vehicle using vision system with limited angle of view
Author :
Widyotriatmo, Augie ; Hong, Gi-Yong ; Hong, Keum-Shik
Author_Institution :
Sch. of Mech. Eng., Pusan Nat. Univ., Busan, South Korea
fYear :
2010
Firstpage :
76
Lastpage :
81
Abstract :
This paper presents a configuration control of a forklift vehicle using a camera-based vision system with limited angle-of-view (AOV). The configuration (i.e., position and orientation) of the vehicle is transformed to navigation variables, which are the distance left to the goal position, the angle made by the x-axis of the target coordinate and the vehicle-to-target (v-to-t) vector, and the angle made by the x-axis of the body coordinate of the vehicle and the v-to-t vector. The kinematic equations of the forklift are derived in the navigation variables and the constraint of the motion due to the limited AOV of the camera is formulated. The control law is derived using quadratic and barrier functions as a Lyapunov function candidate. The asymptotical stability of the origin of the navigation variables is assured using the Lyapunov method. From the property of the barrier function, it can be guaranteed that the motion of the vehicle does not violate the constraint due to the limited AOV of the camera. The effectiveness of the proposed method is verified through numerical simulations.
Keywords :
Lyapunov methods; asymptotic stability; computer vision; fork lift trucks; kinematics; Lyapunov function; asymptotical stability; camera based vision system; configuration control; forklift vehicle; kinematic equations; limited angle-of-view; vehicle-to-target vector; vision system; Cameras; Equations; Lyapunov method; Machine vision; Mobile robots; Navigation; Vehicles; Mobile robot; configuration control; limited angle-of-view; visual servoing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Automation and Systems (ICCAS), 2010 International Conference on
Conference_Location :
Gyeonggi-do
Print_ISBN :
978-1-4244-7453-0
Electronic_ISBN :
978-89-93215-02-1
Type :
conf
Filename :
5669958
Link To Document :
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