利用机器人的理论和技术赋予电磁轴承以专业设计人员的“智慧”,使它能够“独立”地“鉴别”将要“面对”的任何转子(或悬浮体)特点,再根据“已有的专业知识”,包括“设计经验”,对转子(悬浮体)系统进行静、动特性分析与综合分析,“在线设计”出系统合适的控制参数,实现稳定的悬浮支承。本文针对在智能磁力轴承的实现过程中,智能磁力轴承的静态参数(也可称为固有参数或设计参数)及转子(悬浮体)的静态参数(如质量、质心、静载荷)的识别、存储和传输技术进行分析,并给出一种以计算机中的PnP(plug and play)技术为基础的实施方法。
Making use of the robot theory and technology and PnP( Plug and Play) technology in computer science area, we embed the design process of an active magnetic bearing (AMB) and its rotor dynamic theory into its control system. In this way, intelligence is added to the AMB, making it an intelligent magnetic beating(IMB). We first present the hardware structure of a type of IMB, then we propose an intelligent interface and transmission method for its parameters. Finally, an analytic method is proposed for recognizing the static parameters of its rotor.