在永磁同步电机（Permanent Magnet Synchronous Motor, PMSM）控制领域，有限集模型预测控制（Finite Control Set-Model Predictive Control, FCS-MPC）凭借着结构简单和无转速超调等优点得到广泛的应用。但是该策略的控制集中仅包含八个幅值与角度为固定值的电压矢量，限制了永磁同步电机的动态与稳态控制性能。因此，本文针对FCS-MPC 策略存在的问题，提出了四种扩张集模型预测控制（Extended Control
Set-Model Predictive Control, ECS-MPC）策略以优化控制性能。具体研究内容如下：
1. 为产生更符合期望的输出电压矢量，本文设计了一种ECS-MPC 策略，通过对控制集中电压矢量进行扩充的方式，实现了对坐标区更细致的划分，进而提高电流控制性能。但是这一控制策略带来了开关频率高的问题。因此，本文引入模糊逻辑，构建了基于模糊动态代价函数的ECS-MPC 策略，可在较低开关频率下实现对PMSM 的高性能控制。
2. 为进一步缩小输出电压矢量与期望电压矢量间的偏差，本文引入零电压矢量用于调整输出电压矢量幅值，形成了幅值优化的ECS-MPC 策略。其中零电压矢量的占空比是通过解最优化问题得来的，增加了计算负担。本文提出了快速电压矢量选择的ECS-MPC 策略，可通过将期望电压矢量映射到坐标区的方式直接选择出最优电压矢量并计算零电压矢量占空比，降低了程序运行时间。
3. 为验证本文所提ECS-MPC 策略、基于模糊动态代价函数的ECS-MPC 策略、幅值优化的ECS-MPC 策略和快速电压矢量选择的ECS-MPC 策略在提升PMSM 控制性能方面的有效性，搭建了基于TMS320F28335 的PMSM 实验平台，进行空载启动和突加负载实验。通过分析实验结果可以得出，所提策略可以有效降低开关频率、提升系统动态与稳态控制性能。

Finite control set-model predictive control (FCS-MPC) is widely used in the control strategies for permanent magnet synchronous motor (PMSM) because of its simple structure and no speed overshoot. However, the control set of FCS-MPC only contains eight voltage vectors which amplitudes and angles are fixed. It limits the dynamic and steady-state control performance of PMSM. Therefore, four control strategies based on extended control set-model predictive control (ECS-MPC) are proposed to optimize the control performance of FCS-MPC strategies in this thesis. The specific research contents are as follows:
1. ECS-MPC strategy is designed to generate a more desirable output voltage vector. By extending the control set, a more detailed division of coordinate area is realized so that the current
control performance is improved. But this control strategy brings about the problem of high switching times. Therefore, fuzzy logic is introduced in this thesis to construct an ECS-MPC strategy based on fuzzy dynamic cost function, which can improve the control performance of PMSM with lower switching frequency.
2. In order to further reduce the deviation between the output voltage vector and the expected voltage vector, this paper introduces zero voltage vector to adjust the amplitude of the
output voltage vector, forming an ECS-MPC strategy based on amplitude optimization. The duty ratio of zero voltage vector is obtained by solving optimization problem, which increases the calculation burden. In this thesis, an ECS-MPC strategy based on fast voltage vector selection is proposed, which can directly select the optimal voltage vector by mapping the expected voltage vector to the coordinate area and the duty ratio of zero voltage vector is also calculated. With the help of this strategy, the executive time is reduced.
3. To verify the effectiveness of the proposed ECS-MPC strategy, ECS-MPC strategy based on fuzzy dynamic cost function, ECS-MPC strategy based on amplitude optimization and ECS-MPC strategy based on fast voltage vector selection in improving the control performance of PMSM, the experimental platform for PMSM based on TMS320F28335 was built to carry out start without load and sudden added load experiments. By analyzing the experimental results, it can be concluded that the proposed strategies can effectively reduce the switching frequency and improve the dynamic and steady-state control performance of the system.