Model predictive controller for machine tool feed drives
Model predictive controller for machine tool feed drives
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DOI：
10.1109/iccar.2018.8384658
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发表时间：
2018-04
期刊：
影响因子：
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通讯作者：
Thomas Berners;A. Epple;C. Brecher
中科院分区：
文献类型：
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作者：
Thomas Berners;A. Epple;C. Brecher
机床最重要的要求之一是所安装的进给驱动器的准确和快速定位行为。闭环位置控制器在满足这些要求方面起着核心作用。目前，作为闭环位置控制器，主要使用P控制器，其中模型预测控制器（MPC）在很大程度上仍然未被注意到。因此，本文提出了一种模型预测控制器作为机床进给驱动器的闭环位置控制器。一个焦点是增加的定位速度和鲁棒性有关未建模的机器行为。此外，提出了一种基于遗传算法的控制器参数设计方法，根据定位行为的要求。
One of the most important requirements of machine tools is an accurate and fast positioning behavior of the installed feed drives. The closed-loop position controllers have a central role in fulfilling these requirements. At present as closed-loop position controllers, mainly P-controllers are used, whereby model predictive controllers (MPC) are largely still unnoticed. Therefor a model predictive controller as closed-loop position controller for feed drives in machine tools will be presented in this article. A focus is an increase of the positioning speed and the robustness concerning unmodeled machine behaviors. In addition, a method based on a genetic algorithm is presented to design the controller parameters according to requirements to the positioning behavior.