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Vol. 160, Issue 12, December 2013, pp. 584-589




A Novel GA-RBF-PID Control Strategy for Luggage Import Motor Based on Synchronization Control
Fang DING, Rong-Rong LI

Department of Aeronautic Automation, Civil Aviation University of China Tianjing, 300300, China
Tel.: (086) 13821761310
E-mail: dingfang_60@163.com, wslirongrong@163.com


Received: 23 September 2013   /Accepted: 22 November 2013   /Published: 30 December 2013

Digital Sensors and Sensor Sysstems


Abstract: For the problem of the airport baggage importing from conveyer belt to sorter accurately, this article proposed a novel GA-RBF-PID control strategy based on synchronization control, which applied in airport luggage import motor. Genetic algorithm was presented for turning weight parameters of Radical Basis Function (RBF) neural network to realize optimal control, averting the disadvantage of traditional algorithms which were often trapped to local minima, and the motor synchronous control system was applied to guarantee the speed of the baggage induction sorting motors consistent, and prevent from two baggage getting to a luggage tray at the same time. Simulation results show that this strategy greatly improves the efficiency of baggage importing, guarantee subsequent sorting smoothly.


Keywords: Luggage import motor, Radial basis function network, Genetic algorithms, Synchronization control, PID.


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