轴向主动磁轴承的改进不完全微分PID控制

为了减少电磁轴承控制中测量噪声的干扰,提高电磁轴承控制的稳态精度,以立式电机的主动控制电磁轴承为研究对象,分析了测量噪声对传统PID控制的影响,并针对一阶不完全微分PID控制和传统PID控制不能满足系统控制性能要求的情况, 提出一种基于二阶不完全微分PID控制的改进算法.采用MATLAB的Simulink搭建了仿真模型,利用C语言和磁轴承控制平台进行了算法的试验验证.仿真和试验结果表明,改进的算法能够改善磁轴承系统的静态性能,气隙的稳态误差约为20 m,比传统PID、带一阶滤波器的不完全微分PID减小了约50% (30 m),证明了该算法的有效性. 

Improved Incomplete Derivative PID Control of Axial Active Magnetic Bearing

In order to reduce the interference of measurement noise and improve the steady-state precision of magnetic bearing control, the active magnetic bearing of a vertical motor was adopted to analyze the influence of measurement noise on the traditional PID control. Considering that the incomplete derivative PID controller with the first-order filter and the traditional PID controller cannot meet the requirement in performance of controlling the measurement noises, an improved algorithm for the incomplete derivative PID control with the second-order filter was proposed. A simulation platform was then built in Simulink of MATLAB, and the improved algorithm was verified experimentally on the active magnetic bearing platform using C programming language. Results of simulation and experiments show that the improved algorithm can improve the static performance of the magnetic bearing. Using the incomplete derivative PID controller with the second-order filter, the steady-state error of the air gap of the magnetic bearing was about 20 m, reduced by nearly 50% (i.e., 30 m in magnitude) compared to the traditional PID controller and the incomplete derivative PID controller with the first-order filter. This proves the effectiveness of the improved algorithm.