采用扩展状态观测器和自适应滑模控制的12S/19P YASA-AFFSSPM电机的先进无传感器控制

IF 4 3区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Javad Rahmani-Fard , Mohammed Jamal Mohammed
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引用次数: 0

摘要

本文提出了一种基于扩展反电动势模型的转子位置扩展状态观测器,以提高12槽/19极无栅分段电枢轴向磁通开关夹芯永磁电机的无传感器控制性能。此外,还引入了一种自适应滑模速度环补偿方法,以解决电机齿槽转矩较大的问题。该方法通过将观测到的齿槽转矩作为补偿注入到q轴电流谐波中,以提高电机在滑模控制中的抗振和抗干扰性能,同时消除转子转速和位置估计中的稳态误差。通过各种操作条件下的仿真和实验验证了这些控制算法的有效性,证明了它们在改善所研究电机的位置无信号跟踪性能方面的潜力。结果表明,所提出的控制策略在稳态运行时的最大速度估计误差约为1 rpm,最大位置估计误差约为1.5°,具有较高的精度和对干扰的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advanced sensorless control of a 12S/19P YASA-AFFSSPM motor using extended state observer and adaptive sliding mode control
This paper focuses on enhancing the sensorless control performance of a 12slots/19 poles yokeless and segmented armature axial flux-switching sandwiched permanent-magnet motor by proposing a rotor position Extended State Observer based on a extended back-EMF model method. Additionally, an adaptive sliding mode speed loop compensation method is introduced to address the significant cogging torque of the motor. By injecting the observed cogging torque as compensation into the q-axis current harmonic, this method aims to improve the motor's vibration and disturbance rejection performance in sliding mode control while eliminating steady-state errors in rotor speed and position estimation. The effectiveness of these control algorithms is validated through simulations and experiments under various operating conditions, demonstrating their potential for improving the position signal-free tracking performance of the investigated motor. The results indicate that the proposed control strategies achieve a maximum speed estimation error of approximately 1 rpm during steady-state operation and a maximum position estimation error of about 1.5°, showcasing high accuracy and robustness against disturbances.
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来源期刊
Computers & Electrical Engineering
Computers & Electrical Engineering 工程技术-工程:电子与电气
CiteScore
9.20
自引率
7.00%
发文量
661
审稿时长
47 days
期刊介绍: The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency. Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.
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