开关磁阻电机具有输出效率高、调速范围宽、成本低、控制方式灵活等特性，在航空航天、纺织机械、电动汽车、电梯驱动等领域均有应用。由于开关磁阻电机特有的双凸极结构和脉冲式的供电方式，使得电机的转矩脉动、噪音和振动相对较大。在换相期间，转矩脉动尤为明显，而直接瞬时转矩控制策略可以将电机的瞬时转矩限制在一定的范围内，故研究开关磁阻电机直接瞬时转矩控制策略具有重要的理论意义和实用价值。 开关磁阻电机存在严重的磁饱和，难以建立参数化、解析化的数学模型。为了使开关磁阻电机的控制更为精准，需建立开关磁阻电机的非线性数学模型，而这需要精确的电机磁链-转子位置-电流特性数据。对几种获得开关磁阻电机磁链数据的方法进行了对比分析，考虑到实用性和精确性，采用基于特殊位置磁特性曲线分区解析拟合的方法获得了开关磁阻电机的磁链数据，进而得到了电机的转矩-转子位置-电流特性表，在此基础上建立了开关磁阻电机的非线性模型。 对现有控制策略进行了对比分析，选择了直接瞬时转矩控制策略来实现对电机的控制，这种方法可以很好的实现对转矩的控制。但是电机运行时其相电流是不可控的，在换相区域内会有较大的电流尖峰，且存在较大的转矩波动。为解决这些问题，以减小转矩脉动和优化相电流波形为优化目标，利用粒子群算法对开通关断角进行优化，得到开通关断角的最优组合；为了提高系统的响应速度和鲁棒性，设计了模糊转速控制器。 在Matlab环境下建立了开关磁阻电机直接瞬时转矩控制系统仿真模型，将所采用控制方法的仿真结果与传统直接瞬时转矩控制的仿真结果进行了对比分析，结果表明，所采用的方法可以明显的降低转矩脉动，同时也有效地减小了相电流的尖峰。以一台三相12/8极的SR电机为研究对象，采用TI公司的TMS320F28335DSP为控制芯片，搭建了开关磁阻电机硬件实验平台，并以CCS7.4为软件平台，进行了软件程序的设计和编写。实验结果表明，采用粒子群算法优化开通关断角结合双闭环的控制方法使得转矩波动范围减小，改善了开关磁阻电机运行时的性能指标。

Switched reluctance motor has the characteristics of high output efficiency, wide speed regulation range, low cost and flexible control mode. It is used in aerospace, textile machinery, electric vehicles, elevator drive and other fields.However, due to the unique double salient pole structure and the pulsed power supply mode of the switched reluctance motor, the torque ripple, noise and vibration of the motor are relatively large.Torque ripple is especially noticeable during commutation, and the direct instantaneous torque control strategy limits the instantaneous torque of the motor to a certain range.Therefore, it is of great theoretical significance and practical value to study the direct instantaneous torque control strategy of switched reluctance motor. Switched reluctance motors have severe magnetic saturation, making it difficult to establish parametric, analytical mathematical models.In order to make the control of the switched reluctance motor more precise, it is necessary to establish a nonlinear mathematical model of the switched reluctance motor, which requires accurate motor flux-rotor position-current characteristic data.Several methods for obtaining the flux linkage data of switched reluctance motor are compared and analyzed. Considering the practicability and accuracy, the flux linkage data of the switched reluctance motor is obtained by the method of partition analysis and fitting based on the special position magnetic characteristic curve. Furthermore, the torque-rotor position-current characteristic table of the motor is obtained. Based on this, a nonlinear model of the switched reluctance motor is established. The existing control strategy is compared and analyzed, and the direct instantaneous torque control strategy is selected to realize the control of the motor. This method can achieve good control of the torque.However, the phase current of the motor is uncontrollable, there will be a large current spike in the commutation area, and there is a large torque fluctuation.In order to reduce the torque ripple and optimize the phase current waveform, the particle group algorithm is used to optimize the opening angle and the closing angle to obtain the optimal combination of the opening angle and the closing angle.In order to improve the response speed and robustness of the system, a fuzzy speed controller is designed. The simulation model of direct transient torque control system of switched reluctance motor is established in Matlab environment. The simulation results of the control method are compared with the simulation results of traditional direct instantaneous torque control. The results show that the method used can significantly reduce the torque ripple and also effectively reduce the peak of the phasecurrent.Takingathree-phase 12/8-pole SR motor as the research object, TI's TMS320F28335DSP is used as the control chip, the hardware experimental platform of switched reluctance motor was built, and the software program was designed and written with CCS7.4 as the software platform.The experimental results show that the particle swarm optimization algorithm is used to optimize the opening and closing angle combined with the double closed loop control method to reduce the torque fluctuation range and improve the performance index of the switched reluctance motor.