龙门起重机系统的减振:有限水平最优控制方法

M. Goubej, Václav Helma
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引用次数: 5

摘要

本文研究了人动龙门起重机的防摇摆控制问题。目标是设计一种合适的算法,以最小化被操纵负载的不需要的瞬态振荡和剩余振荡。采用有限水平优化方法推导出最优开环控制策略。该方法的新颖之处在于将基于模型的预测控制与零振动输入整形方法相结合。这允许利用两个领域在性能、健壮性、约束定义和实现简单性方面的一些关键优势。实验案例研究验证了该方法,并将其与传统的输入整形方法进行了比较。
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Vibration damping in gantry crane systems: Finite horizon optimal control approach
The paper deals with the problem of anti-sway control in human-operated gantry cranes. The goal is to design a suitable algorithm aiming at minimization of unwanted transient and residual oscillations of the manipulated load. A finite horizon optimization is adopted for the derivation of an optimal open-loop control strategy. The novelty of the proposed approach comes from the combination of model-based predictive control and zero-vibration input shaping methods. This allows utilizing some key advantages from both fields in terms of performance, robustness, constraints definition and simplicity of implementation. Experimental case study demonstrates the proposed approach and compares it to conventional input-shaping method.
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