Suspension Force Control for High-Speed Bearingless Doubly Salient Electromagnetic Motor Considering Advanced Angle and Commutation

IF 7.2 1区 工程技术 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Electronics Pub Date : 2024-12-24 DOI:10.1109/TIE.2024.3515279
Wei Chen;Li Yu;Haonan Zou;Zhongshan Luo;Zhuoran Zhang
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Abstract

With the increase of the speed of bearingless doubly salient electromagnetic motor (BDSEM), the armature currents affect the suspension force characteristics, thus affecting the suspension performance. In this article, first, the influence of suspension currents on torque characteristics is deduced. Second, the suspension force characteristics at high-speed are analyzed and illustrated under different drive control methods. Third, a suspension force control method is proposed to achieve stable suspension during advanced angle drive control and commutation at high-speed. The finite element (FE) results verify the effectiveness of the proposed suspension control method. An experimental platform of 12/8-pole BDSEMs is built. A system including a drive controller, a suspension controller, and a power generation unit is also developed. The experimental results show that the suspension performance is significantly improved.
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考虑超前角度和换相的高速无轴承双凸极电磁电机悬架力控制
随着无轴承双凸极电磁电机(BDSEM)转速的提高,电枢电流会影响悬架力特性,从而影响悬架性能。本文首先推导了悬架电流对转矩特性的影响。其次,分析和说明了不同驱动控制方式下悬架的高速受力特性。第三,提出了一种悬架力控制方法,以实现超前角驱动控制和高速换相时的稳定悬架。有限元结果验证了所提悬架控制方法的有效性。搭建了12/8杆BDSEMs实验平台。还开发了包括驱动控制器、悬挂控制器和发电单元在内的系统。实验结果表明,该系统的悬架性能得到了显著改善。
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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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