变频调速异步电动机转矩脉动最小化控制方法

为了提高变频调速异步电动机转矩的输出稳定性,提出基于模糊变结构PID神经网络控制的变频调速异步电动机转矩脉动最小化控制方法。采用电机的无位置传感器控制技术,采集变频调速异步电动机转矩脉动参数,从而构建转矩脉动约束控制对象模型,采用抗饱和的反馈调节方法,实现电动机转矩的参数融合,基于融合结果通过检测相电流峰值点获得电动机的转矩误差参数,根据滤波增益结果,实现对异步电动机转矩脉动零相移滤波检测,结合参数寻优和模糊变结构PID控制,实现脉动抑制控制优化,从而实现异步电动机转矩脉动的最小化控制。仿真结果表明,采用该方法进行异步电动机转矩脉动最小化控制的输出稳定性较高,有效提高了异步电动机转矩脉动参数的最小化控制能力。

A New Scheme to Direct Torque Control of Interior Permanent Magnet Synchronous Machine Drives for Constant Inverter Switching Frequency and Low Torque Ripple

DTC （direct torque control） can produce quick and robust response, but it has the problems of large torque ripples and inconstant inverter switching frequency. This paper introduces a modified direct torque control based on the SVM （space vector modulation） for IPMSM （interior permanent magnet synchronous motor） drive. Two PI （proportional-integral） controllers regulate the flux and torque, respectively, and the inverter is controlled by the SVM technique in the proposed DTC system. Simulation results show that the performance of the proposed DTC system has been improved with respect to the conventional DTC. The DTC system can effectively reduce the flux and torque ripples.