永磁同步直线电机扰动抑制技术研究

发布时间：2018-08-05 16:50

【摘要】：随着时代的进步,技术也随之不断地革新。在工业技术快速更新的今天,人们对机床进给系统的精度需求愈来愈高,这就需要电机的性能的不断提升。永磁同步直线电机作为电机的一种,有别于旋转电机,拥有推力大,速度高等优势,对它的研究有很大的意义。永磁同步直线电机控制系统是一个非线性的系统,适合它的控制算法有很多种,但无论多优秀的算法还是避免不了扰动的存在,因此,本课题对永磁同步直线电机的扰动抑制技术进行研究。本文首先对永磁同步直线电机的结构、分类以及基本的原理进行介绍,并基于PMLSM的三种坐标系的变换,建立了d-q坐标系下的数学模型。然后对矢量控制技术的基本原理进行简要的描述,对SVPWM技术进行了详细的说明。完成了矢量控制系统仿真模块的搭建,最终完成了基于扰动观测器电流补偿的矢量控制系统仿真。对无模型自适应控制(MFAC)技术进行了分析,推导了控制率算法和伪偏导数算法,研究了参数对控制器的影响。随后在无模型自适应控算法的基础之上,对扰动存在的因素进行分析,分别从扰动估计算法与小波去噪的方向进行分析。最终将MFAC控制算法与扰动估计、小波去噪的方法结合,完成新型的控制器的设计,并在MATLAB/SIMULINK环境下进行了仿真研究和结果分析。通过仿真结果的比较,验证了该方法的有效性和正确性。仿真结果表明:优化后的MFAC控制器对扰动有着很好的抑制作用。
[Abstract]:With the progress of the times, technology is constantly innovating. With the rapid development of industrial technology, people need more and more precision of the machine tool feed system, which requires the continuous improvement of the performance of the motor. Permanent magnet synchronous linear motor (PMSM) is a kind of motor, which is different from rotating motor. It has the advantages of high thrust and high speed, so the research on PMSM has great significance. The permanent magnet synchronous linear motor control system is a nonlinear system. There are many control algorithms suitable for it, but no matter how good the algorithm is, it can not avoid the existence of disturbance. In this paper, the disturbance suppression technology of permanent magnet synchronous linear motor (PMSM) is studied. In this paper, the structure, classification and basic principle of permanent magnet synchronous linear motor (PMSM) are introduced. Based on the transformation of three coordinate systems of PMLSM, the mathematical model in d-q coordinate system is established. Then the basic principle of vector control technology is briefly described, and the SVPWM technology is explained in detail. The simulation module of vector control system is built, and the simulation of vector control system based on disturbance observer current compensation is completed. The (MFAC) technology of model-free adaptive control is analyzed, the control rate algorithm and pseudo-partial derivative algorithm are derived, and the influence of parameters on the controller is studied. Then based on the model-free adaptive control algorithm, the factors of disturbance are analyzed, and the direction of disturbance estimation algorithm and wavelet denoising are analyzed respectively. Finally, the MFAC control algorithm is combined with the disturbance estimation and wavelet denoising method to complete the design of the new controller. The simulation research and the result analysis are carried out under the MATLAB/SIMULINK environment. The validity and correctness of the method are verified by comparing the simulation results. The simulation results show that the optimized MFAC controller can restrain the disturbance well.
【学位授予单位】：安徽工程大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM359.4

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