基于目标状态方程的SRM非线性预测控制

提出了一种基于目标状态方程的开关磁阻电机非线性预测控制方法，根据建立开关磁阻电机的非线性数学模型，按照非线性控制理论，定义转矩偏差和速度偏差为目标状态方程。以此状态方程为基础，结合预测控制理论对开关磁阻电机控制系统进行非线性预测控制设计，得到了以转速和转矩为反馈变量的非线性预测控制规律。根据所设计的控制器，通过软件仿真进行了验证。仿真结果表明，采用基于目标状态方程的开关磁阻电机非线性预测控制方法设计的SRM控制系统具有良好的动态和静态性能，对抑制开关磁阻电机转矩脉动有很好的效果。

Nonlinear Predictive Control for SRM Based on TSEs

A novel scheme for nonlinear predictive control of switched reluctance motor （SRM） based on target state equations （TSEs） is proposed. According to the nonlinear model of SRM, the offsets of the torque and angular speed of SRM is defined as TSEs by applying the nonlinear control theory. Based on TSEs and predictive control theory, a nonlinear predictive control for SRM control system is designed. Using the torque and angular speed as feedback variables, a nonlinear predictive control law is got. The designed controller is validated by software simulation. The results of simulation show that the scheme has excellent dynamic and static performances, and good effects for restraining the ripple of torque of SRM simultaneously.