电机与控制应用2017，Vol.44Issue(2)：18-22,5.
带跟踪微分器的永磁直线同步电机的PID神经元网络控制
Control for Permanent Magnet Linear Synchronous Motor Based on PID Neural Network with Tracking Differentiator
摘要
Abstract
For permanent magnet linear synchronous motor as the actuator of the drive system being vulnerable to the influence of the periodic disturbance such as the end effect of the problem,the PIDNN control methodis based on PID Neural Network with tracking differentiator was proposed.PIDNN which has the function of proportion,integral and differential neurons,incorporate PID control law into the neural network.PIDNN effective inhibition of end effect,thrust ripple,the cogging force and the friction disturbance to the system.Simulation experiments showed that compared with the traditional PID control,the PIDNN control to improve the robustness and traceability of the system,the more practical and effective.关键词
永磁直线同步电机/PID神经元网络/干扰抑制/跟踪微分器Key words
permanent magnet linear synchronous motor (PMLSM)/PID neural network (PIDNN)/disturbance rejection/tracking differentiator分类
信息技术与安全科学引用本文复制引用
蔡满军,赵晓东,于彬,赵成圆..带跟踪微分器的永磁直线同步电机的PID神经元网络控制[J].电机与控制应用,2017,44(2):18-22,5.基金项目
国家自然科学基金项目(20577038) （20577038）
河北省科技计划项目(10213944) （10213944）
