Anti-sway control of an ATC using NN predictive PID control

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 effec...

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Bibliographic Details
Main Authors: Jin Ho Suh, Jin Woo Lee, Young Jin Lee, Kwon Soon Lee
Format: Conference Proceeding
Language:English
Subjects:
Applied sciences
Artificial intelligence
Automatic control
Computer science
control theory
systems
Connectionism. Neural networks
Containers
Control system analysis
Control systems
Control theory. Systems
Costs
Cranes
Electric, optical and optoelectronic circuits
Electrical engineering. Electrical power engineering
Electrical machines
Electronics
Exact sciences and technology
Instruments
Neural networks
Regulation and control
Robust control
Stacking
Three-term control
Online Access:Request full text
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Summary: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.
DOI:10.1109/IECON.2004.1432289