DocumentCode :
3767595
Title :
Development of two DOF mutli-link automated pedestrian crowd control barriers
Author :
Shady S. Shorrab;A. A. Shafie;NK Alang-Rashid
Author_Institution :
Department of Mechatronics Engineering, Faculty of Engineering, International Islamic University Malaysia, Jalan Gombak, 50728 Kuala Lumpur, Malaysia
fYear :
2015
Firstpage :
165
Lastpage :
169
Abstract :
This paper describes the development of a two degree of freedom (DOF) design for automated pedestrian crowd control barrier based on a closed-loop feedback control system. Since most of the barriers existing immobile, static and not adaptable to changing crowd condition, so this work provides an adaptive system that can assume strictly the role of the security man by sensing the crowd and move away to provide a safe area between crowd people and events area without collision. Kinematic and dynamic analysis to build the system is proposed, while planning trajectory is provided by suggesting some cases to control a specific current crowd situation using Computed Torque Controller (CTC), which identifies the difference between the input desired trajectory with the newly collected data of the equation of motion and dynamic equation analysis of the actual system to achieve a good and accuracy results by reducing the error and minimize the disturbances. Simulation studies for a straightforward range of motion exercise were carried out, and experimental validation for the automated barrier with two DOF is performed to move the system forward and backward and avoid any obstacle on its path. The results obtained shows that the controller can track the desired position and trajectories for the barriers system motion, and adequately adapt the control parameters to the crowd conditions and the sensor and motor control performance.
Keywords :
"Mathematical model","Biological system modeling","Sensors"
Publisher :
ieee
Conference_Titel :
Robotics and Intelligent Sensors (IRIS), 2015 IEEE International Symposium on
Type :
conf
DOI :
10.1109/IRIS.2015.7451605
Filename :
7451605
Link To Document :
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