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Tracking and load sway reduction for double-pendulum rotary cranes using adaptive nonlinear control approach

机译:使用自适应非线性控制方法跟踪和负载双摆旋转起重机的摇摆减少

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摘要

Because of the existence of rotational boom motion, the load sway characteristics is more complex. In particular, when the sway presents double-pendulum phenomenon, the design of the controller is more challenging. Furthermore, the uncertain parameters and external disturbances in crane system make it difficult for traditional control methods to obtain satisfactory control performance. Hence, this paper presents an adaptive nonlinear controller based on the dynamic model of double-pendulum rotary crane. Unlike a traditional method, the proposed one does not need to linearize the crane system for controller design; therefore, the control performance can be guaranteed even if the system states are far away from the equilibrium point. By using Lyapunov technique and LaSalle's invariance theorem, it is strictly proved that the whole control system is asymptotically stable at the equilibrium point. The effectiveness of the presented controller is demonstrated via comparative simulations.
机译:由于旋转臂运动的存在,负载摇摆特性更复杂。 特别是,当摇摆呈双界现象时,控制器的设计更具挑战性。 此外,起重机系统中的不确定参数和外部干扰使得传统的控制方法难以获得令人满意的控制性能。 因此,本文介绍了一种基于双摆旋转起重机动态模型的自适应非线性控制器。 与传统方法不同,所提出的方法不需要线性化用于控制器设计的起重机系统; 因此,即使系统状态远离均衡点,也可以保证控制性能。 通过使用Lyapunov技术和Lasalle的不变理定理,严格证明整个控制系统在均衡点处渐近稳定。 通过比较模拟证明所提出的控制器的有效性。

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