摘要
在动态目标模拟系统中,为降低环境噪声、电机推力波动及端部效应对伺服直线电机控制精度的影响,依次进行了一阶低通滤波算法、电机推力波动补偿算法、重复控制算法与常规PID算法复合的控制算法研究。最后分别用常规PID算法和改进后的算法,对直线电机进行了给定速度为50mm/s和157mm/s的控制实验。实验结果表明:相对于常规的PID算法,改进后的算法大大降低了伺服直线电机速度控制的平均误差与标准偏差,并在很大程度上提高了伺服直线电机控制器的控制性能。
In the dynamic target simulation system,the environmental noise,force ripple and thrust effect influenc the control accuracy of the servo linear motor to a large extent.In order to reduce the impact factors above,a research about a algorithm which combined conventional PID with first-order low-pass filter algorithm,motor force ripple compensation algorithm,repeat control algorithm has been proposed.Finally,the experiment with linear motor operated at the speed of 50mm/s and 157mm/s was carried out,which had respectively been controlled by conventional PID algorithm and the improved algorithm.The results showed that the speed average error and standard deviation of the servo linear motor was greatly reduced by the improved algorithm.Simultaneously,the control quality of the servo linear motor was improved efficiently through the way.
出处
《长春理工大学学报（自然科学版）》
2011年第1期92-95,99,共5页
Journal of Changchun University of Science and Technology(Natural Science Edition)
