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标题：基于脉动观测的无轴承磁通切换电机参数辨识 |
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作者：吴国中，丁强 |
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| 2019年第6期 访问次数：247次 |
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摘要：首先研究经典12/10结构无轴承磁通切换电机的悬浮原理，建立了悬浮力数学模型。随后，针对该数学模型，本文推导了转子悬浮控制策略，简化了已有的控制算法。并指出该控制策略对电机本体参数的依赖性，以及当参数存在偏差时将导致悬浮力脉动的不良影响。针对该问题，提出一种基于脉动观测的悬浮力参数在线辨识算法，用以优化悬浮控制效果。实验结果表明所提参数辨识算法使转子位移脉动减少75%，优化了悬浮控制性能。
Abstract: Firstly, this paper studied the suspension principle of a classical 12/10 bearingless flux-switching motor and established its mathematical model of suspension force. Followed by that, a suspension control strategy was derived, which relied on the motor’s structure parameters. The suspension control strategy has the risk of causing suspension force ripple when the control parameters used in control system deviate from their real values. To solve this issue and to optimize suspension control performance, an on-line parameter identification algorithm was proposed based on ripple observation method. Finally, the experimental result shows the ripple of radial rotor displacement is reduced by 75% based on the proposed identification algorithm, and the suspension control performance is improved.
Key words: bearingless motor; flux-switching; ripple observation; parameter identification |
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