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An improved recursive least square–based adaptive input shaping for zero residual vibration control of flexible system:

机译:改进的基于递归最小二乘的自适应输入整形,用于柔性系统的零残余振动控制:

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In this article, a promoted method of adaptive input shaping based on recursive least square with forgetting factor is proposed to achieve zero residual vibration of time-varying flexible systems. First, the zero residual vibration condition of the flexible system is reviewed. Then, the mathematical analysis of recursive least square–based adaptive input shaping is presented; it can be seen that the traditional recursive least square method could calculate the least square solution with all historical I/O data. That is to say, with the increase in time and larger amount of I/O data, the current data could hardly affect the results of the updated input shapers’ coefficients; thus, the problems of insufficient adaptability and noise accumulation occur. So, a forgetting factor is introduced in the recursive calculation to give less calculation weight on historical data and improve the sensitivity of the current data; thus, the above-mentioned problem could be significantly avoided. At last, the verification ...
机译:本文提出了一种基于递归最小二乘且具有遗忘因子的自适应输入整形的改进方法,以实现时变柔性系统的零残余振动。首先,回顾了柔性系统的零残余振动条件。然后,给出了基于递归最小二乘的自适应输入整形的数学分析。可以看出,传统的递归最小二乘法可以计算所有历史I / O数据的最小二乘解。也就是说,随着时间的增加和I / O数据量的增加,当前数据几乎不会影响更新后的输入整形器系数的结果。因此,出现了适应性不足和噪声累积的问题。因此,在递归计算中引入了遗忘因子,以减少对历史数据的计算权重并提高当前数据的敏感性。因此,可以大大避免上述问题。最后,验证...

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