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Real-Time Analysis of a Modified State Observer for Sensorless Induction Motor Drive Used in Electric Vehicle Applications

机译:电动汽车应用中无传感器感应电动机驱动器改进状态观测器的实时分析

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The purpose of this work is to present an adaptive sliding mode Luenberger state observer with improved disturbance rejection capability and better tracking performance under dynamic conditions. The sliding hyperplane is altered by incorporating the estimated disturbance torque with the stator currents. In addition, the effects of parameter detuning on the speed convergence are observed and compared with the conventional disturbance rejection mechanism. The entire drive system is first built in the Simulink environment. Then, the Simulink model is integrated with real-time (RT)-Lab blocksets and implemented in a relatively new real-time environment using OP4500 real-time simulator. Real-time simulation and testing platforms have succeeded offline simulation and testing tools due to their reduced development time. The real-time results validate the improvement in the proposed state observer and also correspond to the performance of the actual physical model.
机译:这项工作的目的是提供一种在动态条件下具有改进的抗干扰能力和更好的跟踪性能的自适应滑模Luenberger状态观测器。通过将估计的干扰转矩与定子电流相结合,可以改变滑动超平面。此外,还观察到了参数失谐对速度收敛的影响,并将其与常规的干扰抑制机制进行了比较。整个驱动系统首先在Simulink环境中构建。然后,Simulink模型与实时(RT)-Lab块集集成在一起,并使用OP4500实时模拟器在相对较新的实时环境中实现。实时仿真和测试平台由于缩短了开发时间,已经成功地离线仿真和测试工具。实时结果验证了所提出的状态观测器的改进,并且还与实际物理模型的性能相对应。

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