基于FPGA的新型高性能永磁同步电机驱动系统设计

提出了一种基于FPGA的单芯片驱动控制方案。它采用硬件模块化的现代EDA设计方法,使用VHDL硬件描述语言,实现了永磁同步电机矢量控制系统的设计。     

Comparison of two novel MRAS based strategies for identifying parameters in permanent magnet synchronous motors

Two model reference adaptive system (MRAS) estimators are developed for identifying the parameters of permanent magnet synchronous motors (PMSM) based on the Lyapunov stability theorem and the Popov stability criterion, respectively. The proposed estimators only need online measurement of currents, voltages, and rotor speed to effectively estimate stator resistance, inductance, and rotor flux-linkage simultaneously. The performance of the estimators is compared and verified through simulations and experiments, which show that the two estimators are simple, have good robustness against parameter variation, and are accurate in parameter tracking. However, the estimator based on the Popov stability criterion, which can overcome parameter variation in a practical system, is superior in terms of response speed and convergence speed since there are both proportional and integral units in the estimator, in contrast to only one integral unit in the estimator based on the Lyapunov stability theorem. In addition, the estimator based on the Popov stability criterion does not need the expertise that is required in designing a Lyapunov function.     

Fuzzy PDFF-IIR controller for PMSM drive systems

Pseudo-derivative feedback with feed-forward gain (PDFF) combines the advantages of proportional-integral (PI) and pseudo-derivative feedback (PDF) controllers. However, PDFF responds more slowly to a command than does PI. To increase the speed of response of the PDFF controller, this work presents a PDFF with moving average errors control. A low-pass IIR filter path for errors compensation that accelerates the slow response is added to a PDFF control loop. A fuzzy inferencer is utilized to adjust the feed-forward gain and integral gain of the PDFF controller to allow closed-loop poles of the transfer function to be properly placed to improve load torque disturbance rejection capability. Simulated and experimental results reveal that the response and load disturbance rejection ability of the fuzzy PDFF-IIR controller are better than those of the traditional PDFF controller.     

无位置传感器的永磁同步电动机反演控制

设计了一种基于无位置传感器的永磁同步电动机(PMSM)反演控制器.该控制器包括基于定子电流检测的速度观测器与反演速度控制器.速度观测器代替位置传感器实现转速的在线估计;反演控制器的设计确保速度控制系统具有快速的转速跟踪与转矩响应.通过设计全局Lyapunov函数保证了控制系统的稳定性.仿真和试验结果表明:基于速度观测器...     

低速直驱永磁同步电机的电磁场有限元分析

多极永磁同步电机在产生低速机械运动的同时提高转矩密度,并且具有较大的负载范围,从而可以直接驱动机械负载,以替代传统电机配合减速器和液力耦合器的驱动方式,摒弃了复杂冗重的减速机构.利用Ansoft/Maxwell 2D建立永磁同步电动机的有限元模型,通过拓扑形式的Modular定子结构绕线方式,对电机进行有限元分析,探究不同气隙长度对低速永磁同步电机磁通密度分布与动态转矩等其他性能的影响.     

基于Matlab永磁同步电机矢量控制的仿真分析

在分析永磁同步电机(PMSM)数学模型和矢量控制原理的基础上,提出了PMSM控制系统建模的方法,在Matlab/Simulink环境中搭建了电流和速度双闭环控制仿真模型,仿真结果也证明了该系统模型的有效性,验证了所采用的控制算法,为在实际控制系统设计和调试运行提供了充分的理论依据.     

基于自适应逆控制的永磁同步电动机控制系统

为进一步提高交流永磁同步电动机控制性能,本文提出了基于自适应逆控制的永磁同步电动机控制系统,采用基于递推最小二乘BP（RLS-BP）算法,对永磁同步电动机系统的进行建模、逆建模和自适应控制器的设计。提高了永磁同步电动机系统建模和逆建模的辨识收敛速度以及辨识精度和系统控制精度。仿真结果表明,基于本文提出的自适应逆控制方法的永磁同步电动机系统,具有良好的动态响应,并且在电机参数摄动情况下具有较强的鲁棒性。     

基于强跟踪滤波器的永磁同步电动机状态观测

针对永磁同步电动机(permanent magnet synchronous motor,PMSM)研究其在外界作用发生突变情况下的状态观测问题。首先基于理想状态下PMSM的数学模型,采用强跟踪滤波器(the strong tracking filter,STF)算法估计电动机的转速、转角、磁链和转矩,并通过仿真比较STF算法与扩展卡尔曼滤波器(extended Kalman filter,EKF)算法的估计性能,结果表明STF与EKF相比对突加给定起动以及突加扰动等因素引起的状态快速变化能够实现更快速、更准确的跟踪。最后在考虑电动机的铁耗情况下分别通过这两种方法进行状态观测,所得结果与上述结论相符,进一步表明将STF应用于实际电动机进行状态观测的可行性和优越性。     

基于MATLAB的永磁同步电机矢量控制系统

基于永磁同步电机矢量控制系统的基本原理,利用Matlab仿真工具对各个模块进行了建模和仿真,并搭建出整个控制系统的模型.通过调节参数,得到了较为理想的输出波形,验证了矢量控制的合理性.     

纯电动汽车用永磁同步电机空间矢量控制系统建模与仿真

在分析小型纯电动汽车动力学方程和永磁同步电机PMSM数学模型的基础上,建立PMSM驱动汽车的数学模型,并利用空间矢量脉宽调制技术和模糊PID控制算法设计了车速-电流双闭环控制系统,以驱动汽车变速运行。在Matlab 7.6/Simulink环境下搭建了纯电动汽车车速-电流双闭环控制系统动态仿真模型,依据行驶需求对电动汽车在某档位的车速与转矩进行了仿真分析,并对控制策略进行了静、动态性能验证。仿真结果表明:该系统具有响应速度快、精度高、抗干扰能力强等优点,为实际纯电动汽车驱动控制系统的分析与设计提供了新的思路。