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首页> 外文期刊>Bulletin of the Polish Academy of Sciences. Technical Sciences >Interval arithmetic-based fuzzy discrete-time crane control scheme design
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Interval arithmetic-based fuzzy discrete-time crane control scheme design

机译:基于区间算法的模糊离散起重机控制方案设计

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In many manufacturing segments, container terminals and shipping yards the automation of material handling systems is an important element of enhancing productivity, safety and efficiency. The fast, precise and safe transfer of goods in crane operations requires a control application solving the problems, including non-collision trajectory planning and limitation of payload oscillations. The paper presents the interval arithmetic-based method of designing a discrete-time closed-loop anti-sway crane control system based on the fuzzy interpolation of linear controller parameters. The interval analysis of a closed-loop control system characteristic polynomial coefficients deviation from their nominal values is proposed to define a minimum number of fuzzy sets on the scheduling variables universe of discourse and to determine the distribution of triangular-shaped membership functions parameters, which satisfy the acceptable range of performances deterioration in the presence of the system’s parameters variation. The effectiveness of this method was proved in experiments conducted using the PAC system on the laboratory scaled overhead crane.
机译:在许多制造部门,集装箱码头和船坞中,物料搬运系统的自动化是提高生产率,安全性和效率的重要元素。在起重机操作中快速,精确和安全地转移货物需要控制应用程序来解决问题,包括无冲突轨迹规划和有效载荷振荡限制。提出了一种基于线性算术参数模糊插值的离散时间闭环防摇摆起重机控制系统设计的基于区间算法的方法。提出了一种闭环控制系统特征多项式系数偏离其标称值的区间分析方法,以在话语调度变量域上定义最小数量的模糊集,并确定三角隶属函数参数的分布,满足在存在系统参数变化的情况下,性能的可接受范围会下降。在实验室规模的桥式起重机上使用PAC系统进行的实验证明了该方法的有效性。

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