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Design and Implementation of Disturbance Compensation-Based Enhanced Robust Finite Control Set Predictive Torque Control for Induction Motor Systems

机译:基于扰动补偿的感应电动机系统增强鲁棒有限集预测转矩控制的设计与实现

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摘要

Finite-control-set-based predictive torque control (PTC) method has received more and more attention in recent years due to its fast torque response. However, it also has two drawbacks that could be improved. First, the torque reference in the cost function of the existing PTC method is generated by the proportional–integral speed controller, so torque reference's generation rate is not fast and its accuracy is low especially when the load torque is given suddenly and inertia value is varying. In addition, the variable prediction of the traditional PTC method depends on the system model, which also has the problem of parameter uncertainties. This paper investigates a disturbance observer (DOB)-based PTC approach for induction motor systems subject to load torque disturbances, parameter uncertainties, and time delays. Not only does the speed loop adopt a DOB-based feed-forward compensation method for improving the system disturbance rejection ability and robustness, but the flux, current, and torque predictions are also improved by using this technique. The simulation and experimental results verified the effectiveness of the proposed method.
机译:近年来,基于有限控制集的预测转矩控制(PTC)方法因其快速的转矩响应而受到越来越多的关注。但是,它也有两个可以改进的缺点。首先,现有PTC方法的成本函数中的转矩参考值是由比例积分速度控制器生成的,因此转矩参考值的生成速度并不快且其准确性较低,尤其是在突然给定负载转矩且惯性值变化的情况下。另外,传统PTC方法的变量预测取决于系统模型,这也存在参数不确定性的问题。本文研究了基于扰动观测器(DOB)的PTC方法,该方法适用于受负载转矩扰动,参数不确定性和时间延迟影响的感应电动机系统。速度环不仅采用基于DOB的前馈补偿方法来提高系统的抗干扰能力和鲁棒性,而且使用该技术还可以改善磁通量,电流和转矩预测。仿真和实验结果验证了该方法的有效性。

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