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A comparative simulation study between predictive torque and speed controllers for five-phase induction motor

机译：五相感应电动机预测转矩与速度控制器的比较仿真研究

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The wide availability of microprocessors with much higher computational power capabilities has encouraged many researchers during the last decade to introduce the predictive control techniques to the field of power electronics and motor drives. One technique of predictive control, which is called model predictive control, is introduced in this paper and its application to control a five-phase induction motor is also presented. The mathematical formulation of both model predictive torque control and model predictive speed control algorithms are explained, which shows that the algorithms' equations are intuitive so they can be easily understood and implemented. Since a load torque estimate is needed in the predictive speed controller, an observer based on the minimal-order Gopinath's method is designed to get the load torque value. A comparison between the two techniques is carried out based on a simulation study. Also, the simulation results show the effectiveness of the predictive control in achieving a high dynamic performance control of multiphase induction motor drives.
机译：在过去十年中，具有更高计算能力的微处理器的广泛可用性鼓励了许多研究人员将预测控制技术引入电力电子和电机驱动器领域。介绍了一种预测控制技术，即模型预测控制，并介绍了其在五相感应电动机控制中的应用。解释了模型预测转矩控制和模型预测速度控制算法的数学公式，这表明算法的方程式很直观，因此可以轻松理解和实现。由于在预测速度控制器中需要估计负载扭矩，因此设计基于最小阶Gopinath方法的观察者来获取负载扭矩值。两种技术之间的比较是基于仿真研究进行的。此外，仿真结果还表明预测控制在实现多相感应电动机驱动器的高动态性能控制方面的有效性。

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