基于MFAC的永磁直线电机的优化控制技术研究

Research on optimized control technology of permanent magnet linear motor based on MFAC

引入无模型自适应控制方法,利用其只需要受控系统的输入和输出数据就可以完成控制器的设计的优势,从而解决了未建模动态对PMLM的控制系统的影响。同时运用神经网络去抑制扰动,并利用小波对系统输出中的噪声进行处理,进一步对扰动进行抑制。

In this paper, model -free adaptive control （MFAC） is used to eontrol the PMLM, and only the input and output data of the controlled system can be used to complete the design of the controller. Thus, the effect of dynamics which has not been modeled on the control system of the PMLM is fundamentally solved. At the same time, the neural network is used to suppress the disturbance, and the noise in the output of the system is processed by wavelet to further suppress the disturbance.