摘要
针对平台所用的永磁同步伺服电动机,推导出永磁同步伺服电动机的数学模型,建立支路控制系统数学模型,并求出传递函数,针对超声-电火花复合加工的特点提出RBF神经网络PID控制算法。通过Matlab仿真结果对比,得出结论,与传统PID控制算法相比,RBF神经网络PID控制算法可以减少加工平台的调节时间、超调量,并且增加控制系统的抗干扰性。
In view of permanent magnet synchronous servo motor used for the platform, mathematical model of permanent magnet synchronous servo motor is built. The mathematical model of the branch control system is built to deduce transfer function. In view of the features of the platform, RBF neural network PID control algorithm is proposed. The comparison of Matlab simulation results is used to draw a conclusion: compared with traditional PID control algorithm, the RBF neural network PID control algorithm can lower the adjustment time and overshoot of processing platform, and strengthen the anti-interference capability of control system.
作者
徐明刚
高峰
XU Minggang;GAO Feng(School of Mechanical and Materials Engineering, North China University of Technology, Beijing 100144, China)
出处
《机械工程师》
2019年第9期30-33,共4页
Mechanical Engineer
基金
北京市自然科学基金项目(3162011)
