Gain-Scheduled Control of Magnetic Bearing Milling Spindles

本研究项目的目的是通过多变量增益调度，推导和评估磁轴承动态在加工过程中快速适应的控制算法。 这些任务包括：制定模型的主轴和切削过程中适用于发展强大的增益调度控制算法;改善的基本理论基础的增益调度控制器的合成，能够修改反馈的磁轴承稳定切削;发展的数字工具的增益调度控制器的合成，这样的系统;评价所产生的控制算法，使用数值模拟的磁轴承铣削主轴;和实验评价的增益调度控制器的颤振抑制。 这种类型的磁轴承主轴控制是独特的，因为切削过程被视为未知的动态，以适应，而不是一个不确定性与鲁棒。 该项目提出了一种新的和独特的方法对磁轴承主轴控制。 该技术如果成功开发，可能会导致比传统主轴或目前可用的磁轴承技术更高的金属去除率。

This research project is aimed to derive and evaluate control algorithms for rapid adaptation of magnetic bearing dynamics during machining via multivariable gain-scheduling. The tasks include: formulation of models of the spindle and cutting process suitable for development of robust gain-scheduled control algorithms; improvement of the underlying theoretical foundation for the synthesis of gain-scheduled controllers that are capable of modifying the feedback of magnetic bearings for stable cutting; development of numerical tools for the synthesis of gain-scheduled controllers for such systems; evaluation of the resulting control algorithms using numerical simulation of a magnetic bearing milling spindle; and experimental evaluation of gain-scheduled controllers for chatter suppression. This type of magnetic bearing spindle control is unique in that the cutting process is treated as unknown dynamics to which to adapt, rather than an uncertainty with which to robust. The project presents a new and unique approach on magnetic bearing spindle control. The technology, if successfully developed, could result in significantly higher metal removal rates than those achievable by conventional spindles or with the currently available magnetic bearing technology.