Model Predictive Control of a Four-Level T-NNPC Inverter without Weighting Factors

Zhituo Ni, M. Narimani, José R. Rodríguez
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引用次数: 1

Abstract

The finite control set model predictive control (FCS-MPC) has obtained a lot of attention for power converters due to its advantages of high performance and multi-objective capability. In conventional MPC formulation, the multi-objective capability is achieved through designing a cost function with delicate weighting factors. The choice of the weighing factors influences the system performance or even stability in some cases. To avoid this problem, this paper proposes a finite control set model predictive control (FCS-MPC) scheme that achieves multi-objectives without introducing any weighting factors. The proposed MPC scheme is validated on a four-level T-NNPC inverter where the multi-objective such as current tracking, floating capacitor balancing, and common-mode voltage (CMV) reduction are all desired. Compared with the conventional cost-function-based MPC scheme, the MPC controller design procedures is simplified without sacrificing the overall performance. The simulations validate the performance of the proposed MPC scheme.
无加权因子的四电平T-NNPC逆变器模型预测控制
有限控制集模型预测控制(FCS-MPC)以其高性能和多目标性能等优点在电力变流器中得到了广泛的关注。在传统的MPC公式中,通过设计具有精细加权因子的成本函数来实现多目标能力。在某些情况下,称重因子的选择会影响系统的性能甚至稳定性。为了避免这一问题,本文提出了一种不引入任何权重因子实现多目标的有限控制集模型预测控制(FCS-MPC)方案。在四电平T-NNPC逆变器上验证了MPC方案,该方案同时具有电流跟踪、浮电容平衡和共模电压降低等多目标。与传统的基于成本函数的MPC方案相比,在不牺牲整体性能的前提下,简化了MPC控制器的设计程序。仿真结果验证了所提MPC方案的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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