Gain-Scheduled Control of Magnetic Bearing Milling Spindles

本研究项目旨在通过多变量增益调度推导和评估快速适应加工过程中磁轴承动态的控制算法。任务包括：建立适合于鲁棒增益调度控制算法开发的主轴和切削过程模型；改进了合成增益调度控制器的基本理论基础，该控制器能够修改磁轴承的反馈以实现稳定切削；这类系统的增益调度控制器合成数值工具的开发；利用磁浮轴承铣削主轴的数值仿真对控制算法进行评价并对增益调度控制器的颤振抑制进行了实验评价。这种类型的磁轴承主轴控制的独特之处在于，切割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。该方案提出了一种新的、独特的磁轴承主轴控制方法。如果该技术开发成功，其金属去除率将大大高于传统主轴或目前可用的磁轴承技术。

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.