Model predictive control for improving operational efficiency of overhead cranes

Show simple item record Wu, Zhou Xia, Xiaohua Zhu, Bing 2015-05-29T08:03:16Z 2015-05-29T08:03:16Z 2015-03
dc.description.abstract Model predictive control (MPC) has been successfully applied to many transportation systems. For the control of overhead cranes, existing MPC approaches mainly focus on improving the regulation performance, such as tracking error or steady-state error. In this paper, energy efficiency as well as safety is newly considered in our proposed MPC approach. Based on the system model designed, the MPC approach is applied to minimize an objective function that is formulated as the integration of energy consumption and swing angle. In our approach, promising results in terms of low energy consumption and small swing angle can be found, whilst the solutions obtained can satisfy all practical constraints. Our test results indicate that the MPC approach can ensure stability and robustness of improving energy efficiency and safety. en_ZA
dc.description.embargo 2016-03-31 en_ZA
dc.description.librarian hb2015 en_ZA
dc.description.uri en_ZA
dc.identifier.citation Wu, Z., Xia, XH & Zhu, B 2015, 'Model predictive control for improving operational efficiency of overhead cranes', Nonlinear Dynamics, vol. 79, no. 4, pp. 2639-2657. en_ZA
dc.identifier.issn 0924-090X (print)
dc.identifier.issn 1573-269X (online)
dc.identifier.other 10.1007/s11071-014-1837-8
dc.language.iso en en_ZA
dc.publisher Springer en_ZA
dc.rights © Springer Science+Business Media Dordrecht 2014. The original publication is available at : http://link.springer.comjournal/11071 en_ZA
dc.subject Overhead crane en_ZA
dc.subject Model predictive control en_ZA
dc.subject Open-loop control en_ZA
dc.subject Anti swing en_ZA
dc.subject Energy efficiency en_ZA
dc.title Model predictive control for improving operational efficiency of overhead cranes en_ZA
dc.type Postprint Article en_ZA

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