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An Internal Model Approach to Robust Current Control of IPMSM Drives with Respect to Unknown and Varying Inductances

机译：一种内部模型方法，以鲁棒电流控制IPMSM驱动相对于未知和变化电感

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Interior permanent magnet synchronous machines (IPMSMs) are well-suited for high-performance applications, such as traction drives in hybrid and electric vehicles. Yet a major challenge to fully exploit their potential is the fact that their self and cross-coupling inductances vary significantly across the operation range. In addition, this variation is difficult to characterize and complicates the design of provably stabilizing and robust controls. Motivated by this, by using an IPMSM model with current dependant inductances together with the internal model principle, a nonlinear current control scheme is derived that renders the equilibrium point of the closed-loop system exponentially stable. Both the control and the stability result only require the knowledge of an upper bound of the gradient of the inductances as well as lower and upper bounds on the inductance values themselves, while their actual evolution can be completely unknown. This is a major advantage compared to existing (PI-based) current control approaches, as it makes costly practices to determine the inductance variations unnecessary. The efficacy of the proposed control scheme is demonstrated in a simulation example.
机译：内部永磁同步机（IPMSMS）非常适合高性能应用，例如混合动力和电动汽车中的牵引驱动器。然而，充分利用其潜力的重大挑战是它们的自我和交叉耦合电感在操作范围内显着变化。此外，这种变化难以表征和复杂化可稳定稳定和稳健的控制的设计。由此引进，通过使用具有电流相关电感的IPMSM模型与内模原理一起，导出了一种非线性电流控制方案，其呈现闭环系统的平衡点指数稳定。控制和稳定性结果都需要所知的电感梯度的上限以及电感值本身上的下限和上限，而它们的实际演变可以是完全未知的。这是与现有（基于PI的）电流控制方法相比的主要优势，因为它使得昂贵的实践来确定不必要的电感变化。在模拟示例中证明了所提出的控制方案的功效。

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