2007
DOI: 10.1109/cca.2007.4389439
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Trajectory Tracking for Boom Cranes Based on Nonlinear Control and Optimal Trajectory Generation

Abstract: Bibliografische Information der Deutschen Bibliothek © Technische Universität Ilmenau (Thür.) 2007Diese Publikationen und alle in ihr enthaltenen Beiträge und Abbildungen sind urheberrechtlich geschützt. Mit Ausnahme der gesetzlich zugelassenen Fälle ist eine Verwertung ohne Einwilligung der Redaktion strafbar. PrefaceDear Participants,Confronted with the ever-increasing complexity of technical processes and the growing demands on their efficiency, security and flexibility, the scientific world needs to establ… Show more

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Cited by 19 publications
(2 citation statements)
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“…The manipulator and rope can reach the preset position within a limited time, and the payload swing can be suppressed entirely. Arnold et al proposed a nonlinear control strategy combined with a model-based optimal trajectory generation method [23]. The trajectory tracking and anti-interference of crane load transportation were studied.…”
Section: Introductionmentioning
confidence: 99%
“…The manipulator and rope can reach the preset position within a limited time, and the payload swing can be suppressed entirely. Arnold et al proposed a nonlinear control strategy combined with a model-based optimal trajectory generation method [23]. The trajectory tracking and anti-interference of crane load transportation were studied.…”
Section: Introductionmentioning
confidence: 99%
“…These methods can be divided into two categories: open‐loop control and closed‐loop control. Due to lack of feedback, open‐loop control methods including input shaping methods (Huang et al, 2013; La & Nguyen, 2019) and traditional trajectory planning control method (Arnold et al, 2007; Schaper et al, 2013; Uchiyama et al, 2013; Yang et al, 2019) are less robust to external disturbance, such as wind disturbance and viscous damping force. Closed‐loop control methods, such as intelligent control (Ahmad et al, 2011; Duong et al, 2010), adaptive control (Sun et al, 2019), sliding mode control (Ho & Terashima, 2019; Tuan, 2019; Tho et al, 2017) and stabilization/regulation control (Sun et al, 2018) have been proposed for rotary crane to improve robustness to external disturbances and system parametric uncertainties.…”
Section: Introductionmentioning
confidence: 99%