Title :
Anti-sway control of an ATC using NN predictive PID control
Author :
Suh, Jin Ho ; Lee, Jin Woo ; Lee, Young Jin ; Lee, Kwon Soon
Author_Institution :
Dept. of Electr. Eng., Dong-A Univ., Busan, South Korea
Abstract :
In this paper, we develop anti-sway control in proposed techniques for an ATC system. The developed algorithm is to build the optimal path of container motion and to calculate an anti-collision path for collision avoidance in its movement to the final coordinate. Moreover, in order to show the effectiveness in this research, we compared NNP PID controller to be tuning parameters of controller using NN with 2 DOF PID controller. The experimental results for an ATC simulator show that the proposed control scheme guarantees performances, trolley position, sway angle, and settling time in NNP PID controller than other controller. As result, the application of NNP PID controller is analyzed to have robustness about disturbance which is wind of fixed pattern in the yard. Accordingly, the proposed algorithm proposed in this study can be readily used for industrial applications.
Keywords :
collision avoidance; containers; cranes; neurocontrollers; predictive control; robust control; three-term control; trolleys; anticollision path; antisway control; automated transfer crane; collision avoidance; container motion; industrial application; neural network; predictive PID control; robustness; settling time; sway angle; trolley position; tuning parameter; Automatic control; Containers; Control systems; Costs; Cranes; Instruments; Neural networks; Robust control; Stacking; Three-term control;
Conference_Titel :
Industrial Electronics Society, 2004. IECON 2004. 30th Annual Conference of IEEE
Print_ISBN :
0-7803-8730-9
DOI :
10.1109/IECON.2004.1432289