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A robust current control based on proportional-integral observers for permanent magnet synchronous machines

机译:基于比例积分观测器的永磁同步电机鲁棒电流控制

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This paper deals with a novel robust current control scheme for Permanent Magnet Synchronous Machine based on the conventional cascade structure. The main idea is to substitute the commonly used decoupling network, which requires the precise knowledge of the system parameters in any working condition, with a more flexible and robust scheme. In particular, the traditional configuration is improved by mean of two proportional-integral observers which allow the preservation of the drive performances under the effects of disturbance. The improved robustness is achieved maintaining the reliable basic scheme with a pure proportional controller in the forward path with advantages in terms of design and tuning. A genetic algorithm is used to optimize the controller and the observer parameters. This multi-objective optimization leads to a good stability and an overall improved performance of the drive above all the operative range. The choice of the optimal solution is based on a novel fitness function which takes into account both dynamical features and disturbance rejection capabilities of the system. The effectiveness of the proposed control scheme is verified by mean of numerical simulations and experiments as well.
机译:本文研究了一种基于常规级联结构的新型永磁同步电机鲁棒电流控制方案。主要思想是用更灵活,更可靠的方案代替常用的去耦网络,该网络需要在任何工作条件下都对系统参数有精确的了解。特别地,借助于两个比例积分观测器改进了传统配置,该观测器允许在干扰的影响下保持驱动性能。通过在前向路径中使用纯比例控制器来维持可靠的基本方案,并在设计和调整方面具有优势,从而实现了更高的鲁棒性。遗传算法用于优化控制器和观察者参数。这种多目标优化可在所有操作范围内实现良好的稳定性并提高驱动器的整体性能。最佳解决方案的选择基于一种新颖的适应度函数,该函数同时考虑了系统的动力学特性和干扰抑制能力。数值仿真和实验验证了所提控制方案的有效性。

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