Model Predictive Control of LC Filter Equipped Surface-Mounted PMSM Drives Using Exact Discretization

IF 7.2 1区 工程技术 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Electronics Pub Date : 2024-08-21 DOI:10.1109/TIE.2024.3436637
Kristóf Bándy;Péter Stumpf
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Abstract

In this article, a novel method is presented to exactly discretize the state-space model of surface-mounted permanent magnet synchronous machines (PMSMs) that are equipped with an inductive-capacitive (LC) filter to allow the model predictive control of the system. An approach is presented to calculate the matrix exponential and the inverse of the angular frequency dependent state-matrix required for the exact discretization. This enables real-time implementation without using memory extensive lookup tables. The method is compared with the Taylor series up to the third term and bilinear approximations as well. Measurement comparatively verifies the theoretical findings in steady-state at various sampling rates, computational requirements, and prediction accuracy experiments. Furthermore, the robustness of the system to speed reference, load torque, and parameter change transients is also explored.
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利用精确离散化实现配备 LC 滤波器的表面安装型 PMSM 驱动器的模型预测控制
本文提出了一种精确离散带电感-电容滤波器的表面贴装永磁同步电机状态空间模型的新方法,以实现系统的模型预测控制。给出了精确离散化所需的矩阵指数和角频率相关状态矩阵逆的计算方法。这样可以实现实时实现,而无需使用大量内存查找表。并将该方法与泰勒级数的三阶近似和双线性近似进行了比较。在不同采样率、计算要求和预测精度实验条件下,实测比较验证了稳态下的理论结果。此外,还探讨了系统对转速参考、负载转矩和参数变化瞬态的鲁棒性。
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来源期刊
IEEE Transactions on Industrial Electronics
IEEE Transactions on Industrial Electronics 工程技术-工程:电子与电气
CiteScore
16.80
自引率
9.10%
发文量
1396
审稿时长
6.3 months
期刊介绍: Journal Name: IEEE Transactions on Industrial Electronics Publication Frequency: Monthly Scope: The scope of IEEE Transactions on Industrial Electronics encompasses the following areas: Applications of electronics, controls, and communications in industrial and manufacturing systems and processes. Power electronics and drive control techniques. System control and signal processing. Fault detection and diagnosis. Power systems. Instrumentation, measurement, and testing. Modeling and simulation. Motion control. Robotics. Sensors and actuators. Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems. Factory automation. Communication and computer networks.
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