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Observability measurement and control strategy for induction machine sensorless drive in traction applications

机译:牵引应用中感应电机无传感器驱动的可观测性测量和控制策略

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Electrical traction using induction machine sensorless control requires high observer performance for all speed ranges, even for low speed or regenerative braking conditions which appear frequently during long time. It is well known that the speed of induction motors is unobservable at very low stator frequencies. This paper uses an observability index to continuously analyze speed observability for sensorless control of induction machines. The correlation between observability-index and observer performance is illustrated in a Hardware in the Loop (HIL) experimental test-bench combining the well-known vector control with an extended Kalman filter. Thanks to the observability-index information, an optimal strategy is proposed to design controllers to guide the system away from undesirable behavior and avoid the weak observability-index region by taking into account all working constraints. A simplified case is presented to improve the speed observer performance, which was tested in the same conditions with the same HIL test-bench to experimentally validate the proposed sensorless control for traction applications.
机译:使用感应电机无传感器控制的电牵引要求在所有速度范围内都具有较高的观察者性能,即使对于长时间出现的低速或再生制动条件也是如此。众所周知,在非常低的定子频率下,感应电动机的速度是无法观察到的。本文使用可观察性指标来连续分析感应电机无传感器控制的速度可观察性。可观察性指标与观察者性能之间的相关性在“硬件在环”(HIL)实验测试台中得到了说明,该测试台将众所周知的矢量控制与扩展的卡尔曼滤波器相结合。得益于可观察性指标信息,提出了一种优化策略来设计控制器,以指导系统远离不良行为,并通过考虑所有工作约束来避免弱的可观察性指标区域。提出了一个简化的案例来提高速度观测器的性能,在相同的条件下使用相同的HIL测试台对其进行了测试,以通过实验验证所提出的用于牵引应用的无传感器控制。

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