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Permanent magnet machine based starter-generator system with modulated model predictive control

机译:基于永磁电机的具有模型预测控制的起动发电机系统

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摘要

The paper describes a hybrid control scheme for a permanent magnet machine based starter-generator (S/G) system. There has been increased usage of electric drive systems in the transportation sector for increased efficiency and reduced emissions. One of the advantages of utilising suitable electric drives is the capability to operate as a starter or generator. The control design of such a system should be considered due to the operating requirements and fast load changes. Different control approaches should therefore be considered in order to achieve these goals, which are a current trend in the transportation sector. Model Predictive Control (MPC) is considered due to its very fast dynamic performance. In particular, Modulated Model Predictive Control (M²PC) was recently introduced and showed significantly better performance than the standard MPC. The control scheme used in this paper utilises M²PC for the current inner loop and PI controllers for the outer loop. The use of M²PC allows very fast transient current response for the S/G system. The proposed overall control benefits from reduced current ripple when compared with a full cascaded PI control scheme. Simulation analyses and experimental results show the capability and performance of the designed controller across both starter and generator modes.
机译:本文介绍了一种基于永磁电机的起动发电机(S / G)系统的混合控制方案。为了提高效率和减少排放,在运输领域中越来越多地使用电驱动系统。利用合适的电驱动器的优点之一是能够用作起动器或发电机。由于运行要求和负载快速变化,应考虑此类系统的控制设计。因此,为了实现这些目标,应考虑采用不同的控制方法,这是交通运输部门当前的趋势。考虑到模型预测控制(MPC)的快速动态性能。特别是,最近引入了模块化模型预测控制(M²PC),它的性能明显优于标准MPC。本文使用的控制方案将M²PC用于当前的内部环路,将PI控制器用于外部环路。使用M²PC可为S / G系统提供非常快速的瞬态电流响应。与完全级联的PI控制方案相比,建议的总体控制受益于减小的电流纹波。仿真分析和实验结果表明,所设计的控制器在启动器和发电机模式下的能力和性能。

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