An extended sliding mode observer (ESMO) with Hurwitz-based power reaching law (HPRL) is proposed in this article to improve the performance and the robustness of predictive current control (PCC). First, extended state-space realizations of permanent magnet synchronous motor (PMSM) stator currents mathematical model are introduced by incorporating parameter mismatches as lumped disturbance and state variables. ESMO with a multidimensional sliding mode surface is designed to estimate the stator current and the lumped disturbance. Second, based on the Hurwitz criterion, HPRL is proposed to eliminate the uncertain disturbance calculation of classical power reaching law. Compared with exponential reaching law, HPRL adopted in ESMO achieves high convergence rate and settles chattering. Third, the predictive current discrete model and the predictive lumped disturbance model are presented by using ESMO-HPRL for PCC cost function evaluation. The experimental results validate high robustness and excellent steady and dynamic performance of PCC-ESMO-HPRL in PMSM systems compared with conventional method.

中文翻译：

---

使用扩展滑模观测器和基于 Hurwitz 的功率趋近定律对 PMSM 系统进行预测电流控制


本文提出了一种具有基于 Hurwitz 功率趋近律 (HPRL) 的扩展滑模观测器 (ESMO)，以提高预测电流控制 (PCC) 的性能和鲁棒性。首先，通过将参数失配合并为集总扰动和状态变量，引入了永磁同步电机 (PMSM) 定子电流数学模型的扩展状态空间实现。具有多维滑模表面的 ESMO 旨在估计定子电流和集总扰动。其次，基于Hurwitz准则，提出HPRL来消除经典幂趋近律计算中的不确定扰动。与指数趋近律相比，ESMO 采用的 HPRL 具有较高的收敛速度并消除了抖振。第三，利用ESMO-HPRL提出了用于PCC成本函数评估的预测电流离散模型和预测集总扰动模型。实验结果验证了与传统方法相比，PCC-ESMO-HPRL在PMSM系统中的高鲁棒性和优异的稳态和动态性能。