Optimal motion planning for overhead cranes
نویسندگان
چکیده
منابع مشابه
Optimal motion planning for overhead cranes
Overhead cranes are widely used in industrial applications for material displacing. Many linear or nonlinear control schemes have been proposed for overhead cranes and implemented on electronic systems, but energy efficiency of transportation has seldom been considered in motion planning. This paper aims at finding an optimal solution of motion planning in terms of energy efficiency for overhea...
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Overhead cranes are usually operated manually to move heavy loads. Fast and smooth movements of the loads are the main objectives of crane operations. However, both the objectives always contradict with each other, so that it is hard to achieve positioning and swing control simultaneously by using conventional methods. This paper presents the adaptive fuzzy sliding mode controller (AFSMC) to re...
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Please cite this article in press as: C. Zhang, A. efficiency, Adv. Eng. Informat. (2012), doi:10.10 Safe and efficient operation of cranes requires not only good planning, but also sufficient and appropriate support in real time. Due to the dynamic nature of construction sites, unexpected changes in site layout may create new obstacles for the crane that can result in collisions and accidents....
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This paper presents an anti-sway control for overhead cranes using neural networks. To reduce the sway of a load after positioning to the greatest extent possible, we construct a trajectory for the position of the trolley. Radial basis function networks (RBFNs) are employed to generate the desired trolley position. Thereafter, a particle swarm optimization (PSO) is used as a learning algorithm ...
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cranes and gantry cranes occupy a crucial role within industry. They are used throughout the world in thousands of factories, steel mills, foundries, ship yards, warehouses, nuclear power plants, waste recycling facilities and other industrial complexes. In many manufacturing operations, operator controlled cranes account for as much as 20% of the production cycle. Material handling engineers h...
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ژورنال
عنوان ژورنال: IET Control Theory & Applications
سال: 2014
ISSN: 1751-8652,1751-8652
DOI: 10.1049/iet-cta.2014.0069