Study of adaptive control law of overhead crane using its model

D. N. Aksamentov
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引用次数: 1

Abstract

Nowadays, cargo cranes are widely used in various areas of industries. Many of cranes use suspended load fastening, which is associated with load swinging during transportation. Load swinging is most often caused by acceleration or deceleration of the crane trolley, less often it occurs due to external disturbances, such as wind. One of the key directions of the development of this kind of cranes is the development of an automated control system that can dampen pendular oscillations of the load. At present, a considerable number of control systems have been developed, but most of them require preset adjustment of specific parameters of the transported load. The task of this study is to develop and debug a control algorithm using a model of an overhead crane of previously developed adaptive control law that can provide fine positioning and damping of load oscillations under the current parametric uncertainty. The study using the pilot plant will allow us to determine and analyze the features of the implementation of the control law before its application for industrial cranes. An adaptive control law is studied using the model of overhead crane under conditions of a current parametric uncertainty of the load and external disturbances. This control method is based on an adaptive control approach with an identifier and an implicit reference model using “simplified” adaptation conditions. A previously developed adaptive control law for an overhead crane is described. An experimental model of an overhead crane is described. An algorithm for adaptive control of an overhead crane model has been developed. The first experimental studies of the proposed control method have been carried out. They confirm its performance in real conditions. The results of experimental tests have shown the effectiveness of the adaptive control law. The system ensures fine motion of the load in a short period of time, dampens the pendular oscillations of the load during acceleration and deceleration of the trolley, as well as during external disturbances. The adaptive control law allows you to move the load to the designated position and dampen the pendular oscillations with minimal preset adjustment of the control system. Since the identification of parameters occurs at the current time, the changes of the parameters of the load and the length of suspension do not affect the quality of control.
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基于桥式起重机模型的自适应控制规律研究
如今,货物起重机被广泛应用于工业的各个领域。许多起重机采用悬挂式载荷紧固,这与运输过程中的载荷摆动有关。负载摆动最常由起重机小车的加速或减速引起,较少由外部干扰(如风)引起。这种起重机发展的关键方向之一是开发一种能够抑制载荷摆振的自动控制系统。目前已经开发了相当数量的控制系统,但大多数控制系统都需要预先调整输送载荷的特定参数。本研究的任务是利用先前开发的自适应控制律的桥式起重机模型开发和调试一种控制算法,该算法可以在当前参数不确定性下提供精细定位和负载振荡阻尼。利用中试装置的研究将使我们能够在控制律应用于工业起重机之前确定和分析控制律的实施特征。利用桥式起重机模型,研究了负载电流参数不确定和外部干扰条件下的自适应控制律。该控制方法基于一种带有标识符和隐式参考模型的自适应控制方法,采用“简化”的自适应条件。描述了先前开发的桥式起重机自适应控制律。介绍了一种桥式起重机的实验模型。提出了一种桥式起重机模型的自适应控制算法。对所提出的控制方法进行了第一次实验研究。他们在实际条件下证实了它的性能。实验结果表明了该自适应控制律的有效性。该系统保证了负载在短时间内的精细运动,抑制了台车加速和减速以及外部干扰时负载的摆振。自适应控制律允许您将负载移动到指定位置,并通过最小的控制系统预设调整来抑制摆振。由于参数的辨识发生在当前时刻,因此负载参数和悬架长度的变化不影响控制质量。
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