Optimization of material handling at the automatic warehouse based on the adaptive control algorithm

S. Kruglov, S. Kovyrshin, N. S. Kovaleva
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Abstract

The paper presents an option for automation of the operational procedure at the concentrating coal factory by means of new methods and control algorithms. A crane control automatic system allows choosing the best possible motion trajectories for fast material handling operations and, regardless of processing and disturbing factors, controlling the dynamic state of the handled load which makes material handling significantly more efficient. This automation option implies “examining” of the warehouse surface and automatic choice of the crane motion algorithm. This algorithm takes into account the height of magnetite bulk and ensures fastest possible material handling. To move load to a specified distance without its swinging under prior load mass uncertainty, rope length, external uncontrolled disturbances (friction, wind load), it is proposed to build an adaptive control system with an identification algorithm and an implicit reference model using “simplified” adaptation conditions. The article contains an example demonstrating the efficiency of the proposed approach.)
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基于自适应控制算法的自动仓库物料搬运优化
本文提出了用新的方法和控制算法实现选煤厂操作过程自动化的一种选择。起重机控制自动系统可以选择最佳的运动轨迹,以实现快速物料搬运操作,并且无论加工和干扰因素如何,都可以控制所处理负载的动态状态,从而使物料搬运效率大大提高。这个自动化选项意味着“检查”仓库表面和自动选择起重机运动算法。该算法考虑了磁铁矿体的高度,保证了最快的物料处理速度。为了使负载在事前质量不确定性、绳长不确定性、外部非受控扰动(摩擦、风荷载)的情况下不发生摆动,采用“简化”自适应条件,建立了一种带有识别算法和隐式参考模型的自适应控制系统。文章中包含一个例子来证明所提出的方法的有效性。
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