基于RBF神经网络的电磁轴承基础激励主动控制研究  

Active control for the base motion of active magnetic bearings based on RBF neural network

作　　者：赵宏凯 蒋科坚 ZHAO Hong-kai;JIANG Ke-jian(School of Information Science and Technology,Zhejiang Sci-Tech University,Hangzhou 310018,China)

机构地区：[1]浙江理工大学信息学院,浙江杭州310018

出　　处：《机电工程》2020年第12期1425-1431,共7页Journal of Mechanical & Electrical Engineering

基　　金：国家自然科学基金资助项目(11272288);浙江省自然科学基金资助项目(LY18E050017)。

摘　　要：针对安装在移动载体上的电磁轴承系统往往会受到来自其承载基础激励干扰的问题,对移动载体上电磁轴承系统在基础激励干扰下的转子加速度、转子动位移和定子动位移进行了研究。通过对基础激励下单自由度电磁轴承系统进行动力学建模,提出了一种基于RBF神经网络的PID控制算法,并分析了该方法在非随机基础激励和随机基础激励下轴承转子的振动特性;通过MATLAB对所建模型进行了仿真实验与控制分析。研究结果表明:该方法能够有效抑制移动载体上基础激励引起的轴承转子的振动,可以实现电磁轴承控制系统在移动载体上的控制参数的自适应调整,在基础激励干扰下轴承转子仍能保持稳定悬浮。Aiming at the problem that active magnetic bearing system installed on a moving carrier was often subject to excitation interference from its bearing foundation,the rotor acceleration,rotor dynamic displacement and stator dynamic displacement of magnetic bearings under basic excitation interference were studied.Through the dynamic model of single-degree-of-freedom magnetic bearing system under basic excitation,a PID control algorithm based on RBF neural network was proposed,the vibration characteristic of the magnetic bearing under nonrandom and random excitation was analyzed as well.Numerical simulation was established by MATLAB to analyze the control performance of magnetic bearing.The results indicate that the method can effectively suppress the vibration of the magnetic bearing rotor on the moving carrier,the adaptive adjustment of the control parameters of the AMB control system on the moving carrier is realized,and the bearing rotor can keep stable suspension under the disturbance of the basic excitation.

关 键 词：电磁轴承 基础激励 神经网络 主动控制 

分 类 号：TH133.3[机械工程—机械制造及自动化] TH113