基于FPGA实现的电动助力转向系统永磁同步电机环内实时模型分析

P. Florin, R. Mircea, Nemes Raul, C. Martis, Pop Adrian-Cornel
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引用次数: 3

摘要

本文对用于汽车电动助力转向系统(EPS)的永磁同步电机(PMSM)进行了双重分析。首先,对现有永磁同步电机进行了有限元分析,对不同转速和电流值下的磁链、磁通密度、齿槽和电磁转矩进行了校核。文中详细给出了机床的结构设计尺寸,并基于辨识参数进行了有限元分析,用于实时分析。后者使用两个现场可编程门阵列(FPGA)处理器完成,每个处理器安装在一个r系列平台上,硬件工具由国家仪器公司提供。一是利用有限元分析提取的参数对永磁同步电机进行分析模型的运行,二是对电机进行场定向控制。两个平台之间的通信使用模拟和数字IOs来模拟真实机器的物理测试台架的行为。因此,使用模拟输入获取3相电流,使用数字线获取位置,并通过其他3个数字通道发送PWM。在一个FPGA上分离机器和转换器模型,在另一个FPGA上分离FOC,最大限度地减少了本研究中测试真实机器和实时环路模型(RTMiL)之间的差距。FEA和RTMiL结果的对比分析将证明基于FPGA的PMSM建模及其控制的准确性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-time Model in the Loop analysis of PMSM for electric power steering system based on FPGA implementation
The paper presents a dual analysis of a permanent magnet synchronous machine (PMSM) designed for an electric power steering system (EPS) used in the automotive industry. Preliminary, the existing PMSM is studied using finite element analysis (FEA) in order to check flux linkage, flux density, cogging and electromagnetic torque values for different speed and current values. Structural design dimensions of the machine are given in detail in the paper as well as FEA based identified parameters used in the real-time analysis. The latter is accomplished using two field programmable gate array (FPGA) processors, each mounted on one Rseries platform, hardware tools provided by National Instruments company. One is running the analytic model of the PMSM with the parameters extracted from FEA and the second one is running the field oriented control (FOC) of the machine. The communication between the two platforms is accomplished using analog and digital IOs to mimic the behavior of the physical test bench with a real machine. Hence, the 3-phase currents are acquired using analog inputs, the position is acquired using digital lines and the PWM is sent via other 3 digital channels. Separation of the machine and converter model on one FPGA and the FOC on the second one, minimizes the gap between testing the real machine and the realtime model in the loop (RTMiL) engaged in this study. Comparative analysis of the FEA and RTMiL results will prove the accuracy of the FPGA based modelling of the PMSM and its control
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