An Improved Gradient-Based Optimization Algorithm for Synchronous Optimal Modulation of High-Speed PMSM Drives

S. Dai, Jiabin Wang, Zhigang Sun, E. Chong
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引用次数: 2

Abstract

By employing offline optimized pulse patterns (OPPs), synchronous optimal modulation (SOM) can achieve minimum current total harmonic distortion (THD) in high-speed PMSM drives when switching-to-fundamental frequency ratio is low. However, the pulse pattern optimization can be very time consuming and has to be tailored for each high-speed drive. This paper presents an improved gradient-based optimization algorithm for SOM of high-speed PMSM drives. It incorporates analytical gradients of the nonlinear constraints, and employs both predictive and random initial values in two steps of optimizations. The proposed method can greatly reduce the computation time of the OPPs and avoid tedious and complex re-optimizations as required in conventional methods. Additionally, based on the optimization results, the total harmonic currents of a high-speed PMSM drive with SOM in real-time control can be predicted, which can serve as an efficient performance evaluation tool. The numerical optimization results, extensive time-domain simulation and experiment results on a prototype high-speed PMSM drive have been obtained and the effectiveness of the proposed method validated.
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一种改进的基于梯度的高速永磁同步电机同步最优调制算法
通过采用离线优化脉冲模式(OPPs),同步最优调制(SOM)可以在切换-基频比较低的情况下实现高速PMSM驱动器电流总谐波失真(THD)的最小化。然而,脉冲模式优化可能非常耗时,并且必须针对每个高速驱动器进行定制。提出了一种改进的基于梯度的高速永磁同步电机SOM优化算法。它结合了非线性约束的解析梯度,并在两步优化中采用了预测和随机初始值。该方法大大缩短了opp的计算时间,避免了常规方法中繁琐而复杂的再优化。此外,基于优化结果,可以预测SOM实时控制的高速永磁同步电机驱动器的总谐波电流,这可以作为一种有效的性能评估工具。在高速永磁同步电机驱动样机上进行了数值优化、大时域仿真和实验,验证了所提方法的有效性。
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