New predictive techniques: control axis solutions

D. Dumur, P. Boucher
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引用次数: 6

Abstract

Improving performances of machine-tools can be achieved with predictive control laws instead of classical PID controllers. Previous studies dealing with generalized predictive control (GPC) have proved that a better efficiency is possible, coupled to a simple implementation due to autotuning procedures. But the limitations of these techniques may be reached with strong specifications of very high speed machining. This paper presents new gradual solutions to the cascade control of CNC machines with very severe objectives. First a multirate predictive algorithm, attractive to benefit of the different dynamics of the loops, can be considered as a positive answer to an increase of rapidity, of possible use if a cascade structure is required. The second solution develops, in case of very small sampling periods, a version of GPC using the delta operator instead of the time shift operator, to avoid oversampling and sensitivity to the accuracy of the transfer function coefficients. The possibilities of these two versions are analysed on an experimental benchmark and compared to results obtained with "classical" GPC algorithms.<>
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新的预测技术:控制轴解决方案
预测控制律可以代替传统的PID控制器来提高机床的性能。先前关于广义预测控制(GPC)的研究已经证明了一个更好的效率是可能的,再加上由于自动调整程序的简单实现。但是,这些技术的局限性可能会在高速加工的严格要求下达到。本文提出了一种新的渐进式的数控机床级联控制方法。首先,一个多速率预测算法,吸引了不同的动态回路的好处,可以被认为是一个积极的答案,以增加速度,如果需要一个级联结构可能使用。在采样周期非常小的情况下,第二种解决方案开发了使用delta算子而不是时移算子的GPC版本,以避免过采样和对传递函数系数精度的敏感性。在实验基准上分析了这两种版本的可能性,并与“经典”GPC算法得到的结果进行了比较。
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