永磁同步电机双矢量模型预测电流控制

发布时间：2018-04-24 03:20

本文选题：永磁同步电机 + 双矢量　；参考：《西安理工大学》2017年硕士论文

【摘要】：随着永磁材料性能的提高和成本的降低,永磁同步电机(Permanent Magnet Syn-chronous Motors,PMSM)的应用逐步扩大。永磁同步电机传统模型预测电流控制在每个采样周期通过价值函数选择出一个最优电压矢量作用下一个采样周期,由于控制集的有限性,稳态性能较差。为了提高系统的稳态性能,占空比控制被引入到模型预测电流控制中,即在一个采样周期中零电压适量和有效电压矢量同时作用,但是由于第二个电压适量智能是零电压矢量,在每个采样周期中只能选择六个固定方向上的电压矢量,因此电流仍存在较大波动。本文提出了一种双适量模型预测电流控制方法,该方法在每一个采样周期中进行两次电压矢量选择,可以在进行第二次电压适量选择时选择非零电压适量,作用的电压适量幅值和方向均可调,并且在价值函数中考虑了作用时间对电压矢两选择的影响,使得电压矢量的选择更加准确。为了验证双矢量模型预测电流控制方法的可行性与有效性,在MATLAB/Simulink和两电平逆变器平台分别进行了仿真和实验验证。仿真和实验结果表明:双矢量模型预测电流控制具有较好的参数鲁棒性;在相同采样频率时,与占空比模型预测电流控制相比,双矢量模型预测电流控制可以在更大的矢量选择范围内选择更加准确的电压矢量,有效地提高了系统的稳态性能,且在较宽的速度范围内都保持较小的电流波动;与采样频率为20kHz时的占空比模型预测电流控制相比,采样频率为10kHz时的双矢量模型预测电流控制仍然具有较小的电流波动,且开关频率较低。
[Abstract]:With the improvement of permanent magnet material performance and the decrease of cost, the application of permanent Magnet Syn-chronous PMSM (permanent Magnet synchronous Motor) has been gradually expanded. The traditional model of permanent magnet synchronous motor (PMSM) predicts that current control selects an optimal voltage vector for each sampling period through value function. Due to the limitation of the control set, the steady-state performance of PMSM is poor. In order to improve the steady-state performance of the system, the duty cycle control is introduced into the model-predictive current control, that is, zero voltage moderate and effective voltage vector act simultaneously in a sampling period, but the second voltage moderate intelligence is zero voltage vector. In each sampling period, only six voltage vectors in fixed direction can be selected, so the current still fluctuates greatly. In this paper, a double-moderate model predictive current control method is proposed, in which the voltage vector is selected twice in each sampling period, and the non-zero voltage is chosen when the second voltage is suitable. The proper amplitude and direction of the voltage can be adjusted, and the effect of time on the choice of voltage vector is considered in the value function, which makes the selection of voltage vector more accurate. In order to verify the feasibility and effectiveness of the dual-vector model predictive current control method, the simulation and experimental results are carried out on the MATLAB/Simulink and two-level inverter platforms. The simulation and experimental results show that the dual vector model predictive current control has good parameter robustness, and at the same sampling frequency, compared with the duty cycle model predictive current control, The double vector model predicts that current control can select more accurate voltage vectors in a larger range of vector selection, effectively improve the steady-state performance of the system, and maintain a small current fluctuation in a wide range of speed. Compared with the duty cycle model predictive current control when the sampling frequency is 20kHz, the double vector model predictive current control with sampling frequency of 10kHz still has smaller current fluctuation and lower switching frequency.
【学位授予单位】：西安理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM341

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