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Improved Speed-Sensorless Input/Output Linearisation-Based SVPWM-DTC of IM

机译:改进的速度无传感器输入/输出线性基于IM的SVPWM-DTC

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In this paper, speed-sensorless input-output linearisation controller (IOLC) based direct torque control (DTC) of induction motor (IM) is implemented in simulation. The switching states of the inverter are determined by the space vector pulse width modulation (SVPWM) method to provide switching conditions with constant switching frequency instead of the lookup table-based conventional DTC method. Thus the torque and flux fluctuations, total current harmonic distortions and switching loss are decreased. In this drive system, IOLC is used instead of proportional-integral (PI) controller to obtain voltage reference vector of the SVPWM. In order to increase the control performance, an extended Kalman filter (EKF)-based estimator is used for the estimation of stator resistance in addition to stator current, stator flux, rotor mechanical angular velocity and load torque. According to the simulation results, it is understood that the sensitivity of the drive system to stator resistance is eliminated by EKF-based estimator and a very high dynamic control performance is achieved with the accurate estimations of EKF algorithm.
机译:本文在仿真中实现了一种基于无传感器输入输出线性控制器(IOLC)的感应电动机(IM)的直接转矩控制(DTC)。逆变器的切换状态由空间矢量脉冲宽度调制(SVPWM)方法确定,以提供具有恒定切换频率的切换条件,而不是基于查找表的传统DTC方法。因此,扭矩和焊剂波动,总电流谐波畸变和开关损耗减小。在该驱动系统中,使用IOLC代替比例积分(PI)控制器以获得SVPWM的电压参考矢量。为了增加控制性能,除了定子电流,定子通量,转子机械角速度和负载扭矩之外,还用于估计定子电阻的扩展卡尔曼滤波器(EKF)的估计。根据仿真结果,据了解,通过基于EKF的估计器消除了驱动系统对定子电阻的灵敏度,并且通过EKF算法的准确估计,实现了非常高的动态控制性能。

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