基于CARIMA模型GPC算法的感应电机直接转矩控制

Generalized Predictive Control for CARIMA Model Used in Induction Motor

针对感应电机直接转矩控制在低速时转矩脉动大等缺点,本文首次提出了一种基于CARIMA模型的广义控制算法,并使其应用于感应电机的直接转矩控制。该算法直接作用于直接转矩控制中的转速控制,不依赖于电机的具体模型,通过系统辨识与参数估计获得算法模型参数,具有在线辨、滚动优化和对模型的要求不高等优点。通过仿真表明,此算法提高了感应电机直接转矩控制的控制精度和低速性能。

In order to overcome the drawbacks of induction motor in direct torque control,that it has large torque ripples at low speed,a generalized predictive control method based on CARIMA model is firstly proposed in this paper,and be used in the DTC of induction motor.the method is directly used in speed control of DTC,and doesn’t depend on the detail model of induction motor.It gets algorithm model parameter from the system identification and parameter estimation,and has the advantages of online identification, rolling optimization and low reqirement for model.Simulation results show that the method has improved control accuracy and low speed performance.