Gain-Scheduled Control of Magnetic Bearing Milling Spindles

该研究项目旨在推导和评估多变量增益调度在加工过程中磁轴承动态快速适应的控制算法。这些任务包括：建立适合于开发稳健的增益调度控制算法的主轴和切割过程的模型；改进合成能够修改磁轴承的反馈以实现稳定切割的增益调度控制器的基本理论基础；开发用于合成此类系统的增益调度控制器的数值工具；使用磁轴承铣床主轴的数字仿真来评估所产生的控制算法；以及用于抑制颤振的增益调度控制器的实验评估。这种类型的磁力轴承主轴控制的独特之处在于，切割过程被视为需要适应的未知动态，而不是需要稳健处理的不确定性。该项目为磁力轴承主轴控制提供了一种新的、独特的方法。这项技术如果开发成功，可能会产生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.