基于模糊自适应的主动磁悬浮系统稳定性控制

Stability Control of Active Magnetic Levitation System Based on Fuzzy Adaptive Theory

针对主动磁悬浮主轴非线性不稳定的系统特征,提出了一种模糊参数自适应PID控制方法。该方法根据系统状态,通过模糊推理过程,产生一组PID控制器最优控制参数,以实现系统的自适应控制。构建了磁悬浮主轴的闭环结构模型并进行了系统仿真实验,结果表明,模糊参数自适应PID控制方法超调控制性能优于常规方法12.5%,并具有良好的抗扰动性能。

Aiming at the nonlinearity and non-stability of the active magnetic levitation system, a fuzzy a- daptive PID control method is proposed. According to the system state, a set of the most optimal con- trol parameter for PID controller is produced through the fuzzy inference process, so as to realize the a- daptive control. A closed-loop structure model of the magnetic suspension spindle is constructed and the system simulation experiments are carried out. The results show that the overshoot control performance of fuzzy parameters adaptive PID control method is better than that of the conventional method 12.5% and the method has good performance in the disturbance rejection.