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Effective variable switching point predictive current control for ac low-voltage drives

机译:交流低压驱动器的有效可变开关点预测电流控制

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摘要

This paper presents an effective model predictive current control scheme for induction machines driven by a three-level neutral point clamped inverter, called variable switching point predictive current control. Despite the fact that direct, enumeration-based model predictive control (MPC) strategies are very popular in the field of power electronics due to their numerous advantages such as design simplicity and straightforward implementation procedure, they carry two major drawbacks. These are the increased computational effort and the high ripples on the controlled variables, resulting in a limited applicability of such methods. The high ripples occur because in direct MPC algorithms the actuating variable can only be changed at the beginning of a sampling interval. A possible remedy for this would be to change the applied control input within the sampling interval, and thus to apply it for a shorter time than one sample. However, since such a solution would lead to an additional overhead which is crucial especially for multilevel inverters, a heuristic preselection of the optimal control action is adopted to keep the computational complexity at bay. Experimental results are provided to verify the potential advantages of the proposed strategy.
机译:本文提出了一种由三电平中性点钳位逆变器驱动的感应电机的有效模型预测电流控制方案,称为可变开关点预测电流控制。尽管基于枚举的直接模型预测控制(MPC)策略由于其众多优点(例如设计简单和实现过程简单)而在电力电子领域非常流行,但它们仍然具有两个主要缺点。这是增加的计算量和受控变量的高波动,导致此类方法的适用性有限。之所以会产生高纹波,是因为在直接MPC算法中,只能在采样间隔开始时更改调节变量。对此的一种可能的补救措施是在采样间隔内更改施加的控制输入,从而比一个采样施加更短的时间。但是,由于这样的解决方案将导致额外的开销,这对于多电平逆变器尤其重要,因此采用了对最优控制动作的启发式预选,以保持计算的复杂性。提供实验结果以验证所提出策略的潜在优势。

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