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Operator-based robust non-linear control for gantry crane system with soft measurement of swing angle

机译:龙门起重机系统基于操作员的鲁棒非线性控制,软测量摆动角

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摘要

In this paper, a robust non-linear control scheme is proposed for a gantry crane system with estimation of swing angle by using operator-based robust right coprime factorisation approach. By analysing properties of the crane system, it shows that displacement distance and swing angle are the two main goals. But, there exists only one input force. Also, in real gantry crane system, it is difficult to measure the swing angle. As a result, real-time estimation of the swing angle is presented by using data-based SVM model, where a generalised Gaussian function is adopted as the kernel function. The difference between the estimation and real value leads some uncertainties. Then, operator-based robust right coprime factorisation approach is presented for the non-linear system with uncertainties. Meanwhile, an optimal tracking controller is designed to ensure the tracking performance. Finally, experimental results are given to show the effectiveness of the proposed scheme.
机译:在本文中,提出了一种鲁棒的非线性控制方案,通过使用基于算子的鲁棒右互素分解方法,估计了龙门起重机的摆动角。通过分析起重机系统的性能,可以看出位移距离和摆角是两个主要目标。但是,仅存在一种输入力。而且,在实际的龙门起重机系统中,难以测量摆动角度。结果,利用基于数据的支持向量机模型对摆角进行实时估计,其中采用广义高斯函数作为核函数。估计值与实际值之间的差异导致一些不确定性。然后,针对具有不确定性的非线性系统,提出了基于算子的鲁棒右互素分解方法。同时,设计了一种最优的跟踪控制器来保证跟踪性能。最后,实验结果表明了该方案的有效性。

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