Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
In many manufacturing segments, container terminals and shipping yards the automation of material handling systems is an important element of enhancing productivity, safety and efficiency. The fast, precise and safe transfer of goods in crane operations requires a control application solving the problems, including non-collision trajectory planning and limitation of payload oscillations. The paper presents the interval arithmetic-based method of designing a discrete-time closed-loop anti-sway crane control system based on the fuzzy interpolation of linear controller parameters. The interval analysis of a closed-loop control system characteristic polynomial coefficients deviation from their nominal values is proposed to define a minimum number of fuzzy sets on the scheduling variables universe of discourse and to determine the distribution of triangular-shaped membership functions parameters, which satisfy the acceptable range of performances deterioration in the presence of the system’s parameters variation. The effectiveness of this method was proved in experiments conducted using the PAC system on the laboratory scaled overhead crane.
Rocznik
Tom
Strony
863--870
Opis fizyczny
Bibliogr. 40 poz., rys., wykr., alg.
Twórcy
autor
- AGH University of Science and Technology, Faculty of Mechanical Engineering and Robotics, 30 Mickiewicza Ave., 30-059 Cracow, Poland
Bibliografia
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- [12] C.-Y. Chang, “The switching algorithm for the control of overhead crane”, Neural Computing and Applications 15 (3-4), 350-358 (2006).
- [13] X. Li and W. Yu, “Anti-swing control for an overhead crane with fuzzy compensation”, Intelligent Automation and Soft Computing 17 (X), 1-11 (2004).
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- [15] D. Liu, J. Yi, D. Zhao, and W. Wang, “Adaptive sliding mode fuzzy control for a two-dimensional overhead crane”, Mechatronics 15 (5), 505-522 (2005).
- [16] S.-K. Oh, W. Pedrycz, S.-B. Rho, and T.-C. Ahn, “Parameter estimation of fuzzy controller and its application to inverted pendulum”, Engineering Applications of Artificial Intelligence 17 (1), 37-60 (2004).
- [17] N. Sadati and A. Hooshmand, “Design of a gain-scheduling anti-sway controller for tower cranes using fuzzy clustering techniques”, Int. Conf. on Computational Intelligence for Modeling, Control and Automation 1, CD-ROM (2006).
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-64478478-570a-4bec-96f0-f408b8fd1225