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Low frequency operation of modular multilevel matrix converter using optimization-oriented predictive control scheme

机译:模块化多级矩阵转换器的低频运行使用优化的预测控制方案

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In power converters, common challenge for current reference tracking employing model predictive control (MPC) is the high computational burden. This issue is more obvious when solving optimal control problems over prediction horizons. To manage and enhance the computational efficiency of widely used control strategies, an integrated perturbation analysis and sequential quadratic programming (IPA-SQP) solver is used to achieve the system constrained optimization and lower sampling times, hence reducing the computational complexity. A Finite-Control-Set Model Predictive Control (FCS-MPC) for current control in cascaded H-bridge Modular Multilevel Matrix Converter (M3C) is also developed. The M3C is connected to a low frequency AC system, which has an operating frequency less than 20 Hz. The proposed control scheme is therefore introducing an alternative for practical implementation. Simulation results for a closed-loop system with low frequency output side for a 9-level M3C is included to validate the main findings.
机译:在功率转换器中,采用模型预测控制(MPC)的当前参考跟踪的常见挑战是高计算负担。在通过预测视野上解决最佳控制问题时,这个问题更加明显。为了管理和提高广泛使用的控制策略的计算效率,使用集成的扰动分析和顺序二次编程(IPA-SQP)求解器用于实现系统约束优化和更低的采样时间,从而降低计算复杂性。还开发了用于级联H桥模块化多级矩阵转换器(M3C)的电流控制的有限控制设定模型预测控制(FCS-MPC)。 M3C连接到低频AC系统,其工作频率小于20Hz。因此,所提出的控制方案正在引入实际实施的替代方案。包括用于9级M3C的低频输出侧的闭环系统的仿真结果,以验证主要发现。

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