Authors: Jaroslaw Smoczek; Janusz Szpytko
Addresses: Faculty of Mechanical Engineering and Robotics, AGH University of Science and Technology, Mickiewicza Av. 30, PL 30-059 Krakow, Poland. ' Faculty of Mechanical Engineering and Robotics, AGH University of Science and Technology, Mickiewicza Av. 30, PL 30-059 Krakow, Poland
Abstract: The productivity of manufacturing process significantly depends on an availability of material handling systems, which in turn depends on reliability and maintainability of transportation devices. For this reason the scheduling of maintenance operations is very important to keep the high availability of transportation system. The attention in the paper is focused on a crane control problem and availability of automated material handling device, which refers to capability of a device to realise transportation operations with expected quality. An anti-sway crane control problem was solved in the paper by using indirect adaptive pole placement system with fuzzy estimator of parameters of a crane dynamic model. The paper presents the fuzzy model used to heuristic estimation of the system availability coefficient, and genetic fuzzy system that forecasts prognoses of operating time between failures. The models were implemented in the monitoring and diagnostic system tested on the laboratory stand, the overhead travelling crane.
Keywords: overhead cranes; adaptive control; availability; fuzzy logic; genetic algorithms; maintenance scheduling; anti-sway crane control; automated materials handling; adaptive pole placement; fuzzy control; dynamic modelling; transportation devices.
International Journal of Intelligent Systems Technologies and Applications, 2012 Vol.11 No.1/2, pp.117 - 137
Received: 22 Sep 2011
Accepted: 16 Dec 2011
Published online: 16 Apr 2012 *