Title :
Intelligent parking method for truck in presence of fixed and moving obstacles and trailer in presence of fixed obstacles: Advanced Fuzzy logic technologies in industrial applications
Author :
Sharafi, M. ; Zare, A. ; Nikpoor, S.
Author_Institution :
Gonabad Branch, Young Res. Club, Islamic Azad Univ., Gonabad, Iran
Abstract :
A Fuzzy approach to backward movement control for truck and trailer in a dynamic environment is presented in this paper. The approach is then extended and employed for conditions where obstacles are placed on the truck pathway. In the first case, obstacles are assumed to be fixed, while the second condition includes moving obstacles through which the truck should be directed toward the parking dock. The method is designed in a way to be used in conditions with infinite number of obstacles at arbitrary places. In any case, to find the parking dock, the truck movement must be adapted to that of obstacles. In the present paper, two separate fuzzy controllers are used for directing the truck and trailer: one for finding the target, and the other for avoiding the obstacles. While there is no obstacle around, the target finder controller is in use; and in the cases where the truck gets close to obstacles the obstacle avoider controller is activated. The proposed method is employed for parking a truck model through fixed and moving obstacles.
Keywords :
collision avoidance; fuzzy control; motion control; nonlinear control systems; position control; road vehicles; advanced fuzzy logic technologies; backward movement control; fuzzy controllers; industrial applications; intelligent parking method; obstacle avoider controller; parking dock; trailer; truck; Artificial neural networks; Fuzzy logic; Fuzzy sets; Fuzzy systems; Mathematical model; Sensors; Wheels; Avoiding Obstacles Truck and trailer Parking; Fixed and Moving Obstacles; Fuzzy Control; Routing;
Conference_Titel :
Electronics and Information Engineering (ICEIE), 2010 International Conference On
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-7679-4
Electronic_ISBN :
978-1-4244-7681-7
DOI :
10.1109/ICEIE.2010.5559779