2019
DOI: 10.1177/0142331219830157
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Finite-time model-free trajectory tracking control for overhead cranes subject to model uncertainties, parameter variations and external disturbances

Abstract: The payload mass and the cable length are always different/uncertain for various transportation tasks and external disturbances that accompany industrial overhead crane systems. In addition, existing control methods can obtain merely asymptotic results. To solve the aforementioned problems, an accurate model-free trajectory tracking controller subject to finite time convergence for overhead crane systems is proposed based on the suitably defined non-singular terminal sliding vector. Moreover, the proposed cont… Show more

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Cited by 35 publications
(23 citation statements)
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“…In the past few decades, in order to achieve the dual goals of trolley positioning and load elimination, more and more scholars are devoted to this subject and a series of anti‐sway positioning control methods have been come up with. For instance, input shaping method, 2‐7 model predictive control, 8‐10 trajectory planning method, 11‐13 robust control, 14‐16 adaptive control, 17‐19 and so on. However, most control methods are proposed for two‐dimensional overhead cranes systems and 3D overhead cranes with single pendulum effect.…”
Section: Introductionmentioning
confidence: 99%
“…In the past few decades, in order to achieve the dual goals of trolley positioning and load elimination, more and more scholars are devoted to this subject and a series of anti‐sway positioning control methods have been come up with. For instance, input shaping method, 2‐7 model predictive control, 8‐10 trajectory planning method, 11‐13 robust control, 14‐16 adaptive control, 17‐19 and so on. However, most control methods are proposed for two‐dimensional overhead cranes systems and 3D overhead cranes with single pendulum effect.…”
Section: Introductionmentioning
confidence: 99%
“…The dynamic characteristics is adopted to suppress the payload oscillation in open-loop anti-sway. The theoretical research and application of open-loop anti-sway represented by input shaping (Abdullahi et al, 2016;Alshaya and Almujarrab, 2020;Maghsoudi et al, 2016b;Maghsoudi et al, 2019) and trajectory planning (Wu et al, 2018;Zhang, 2019) are relatively mature in the research of anti-sway control methods of bridge cranes. Liu and Cheng (2018) propose a path planning method to limit bridge cranes payload oscillation by using Bezier curve and particle swarm optimization algorithm (PSO-BC).…”
Section: Introductionmentioning
confidence: 99%
“…This kind of load sway will not only reduce the work efficiency but also cause accident and injury. 1 To solve this problem, many scholars have done a lot of researches and put forward many effective methods including input shaping method, 2-6 optimal control, 7-11 model predictive control, 12,13 adaptive control, [14][15][16][17] sliding mode control, [18][19][20][21] Lyapunov-based control, [22][23][24][25][26][27][28][29][30][31][32][33][34][35] robust control, 36,37 and so on. However, when the load shape is irregular or the mass of the hook cannot be neglected, the sway will present a more complex double-pendulum load sway phenomenon, which makes it difficult for traditional control methods to obtain satisfactory control performance.…”
Section: Introductionmentioning
confidence: 99%