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Model predictive control of electric drive system with Ll-norm

机译:用LL-NOM的电驱动系统模型预测控制

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This paper deals with the model predictive control of an electric drive system. Particularly, it focuses on the use of the L1-norm to penalize a speed deviation in a cost function of the predictive control criterion. The benefits and disadvantages of such penalization are discussed considering a model of per-manent magnet synchronous motor. The main goal of the paper is to achieve a feasible predictive control algorithm with the L1-norm cost. This proceeds in two stages. First, the long-horizon part of the criterion is approximated by an appropriately designed terminal cost. Second, the short-horizon part is reduced, which facilitates optimization over a continuous control domain. Validity of the approximations and considerations are demonstrated using a set of numerical examples. (c) 2020 European Control Association. Published by Elsevier Ltd. All rights reserved.
机译:本文涉及电动驱动系统的模型预测控制。特别地,它专注于使用L1-Norm来惩罚预测控制标准的成本偏差的速度偏差。考虑到每次行驶磁体同步电动机的模型,讨论了这种惩罚的益处和缺点。本文的主要目标是实现具有L1-NOM成本的可行预测控制算法。这在两个阶段进行。首先,通过适当设计的终端成本近似标准的长地平部分。其次,减少了短地平部分,这有助于优化连续控制域。使用一组数值示例来证明近似和考虑的有效性。 (c)2020欧洲控制协会。 elsevier有限公司出版。保留所有权利。

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