Heuristic finite-set model predictive current control for induction machines
Heuristic finite-set model predictive current control for induction machines
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DOI：
10.1109/ecce-asia.2013.6579264
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发表时间：
2013-06
期刊：
影响因子：
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通讯作者：
P. Stolze;M. Tomlinson;R. Kennel;T. Mouton
中科院分区：
文献类型：
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作者：
P. Stolze;M. Tomlinson;R. Kennel;T. Mouton
本文提出了一种启发式的模糊集模型预测控制（FS-MPC）策略，用于感应电机的电流控制。FS-MPC方法非常直观且易于理解;此外，它们通常提供了控制任何非线性系统的可能性，并且在成本函数中具有任意用户定义的项，并且不需要调制器。它们最重要的缺点之一是必要的计算工作量，该工作量随着预测范围呈指数级上升。特别是对于多电平逆变器，这可能是成功实时实施的关键因素。所提出的启发式策略，以减少计算工作量也可以扩展到多电平逆变器。实验验证了该算法的FS-MPC电流控制的感应电机与三个预测步骤。
This paper presents a heuristic Finite-Set Model Predictive Control (FS-MPC) strategy for current control of induction machines. FS-MPC methods are very intuitive and easy to understand; furthermore, they in general offer the possibility to control any nonlinear system with arbitrary user-defined terms in the cost function and do not require a modulator. One of their most important drawbacks is the necessary calculation effort which rises exponentially with the prediction horizon. Especially for multilevel inverters this can be a crucial factor for a successful real-time implementation. The proposed heuristic strategy for reducing the calculation effort can also be extended to multilevel inverters. The algorithm is verified experimentally for FS-MPC current control of an induction machine with three prediction steps.