Magnetic bearing control using fuzzy logic
Magnetic bearing control using fuzzy logic
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DOI：
10.1109/ias.1993.299176
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发表时间：
1993-10
期刊：
影响因子：
--
通讯作者：
John Y. Hung
中科院分区：
文献类型：
--
作者：
John Y. Hung
提出了一种改善磁轴承控制系统性能的模糊逻辑方法。经典的线性设计技术最常用于控制这些轴承的自然不稳定性，但磁非线性限制了控制效果和稳定性能的区域。因此，这里的想法是以更好地补偿非线性效应的方式来调节线性控制器信号。电磁铁电流和气隙的吸引力的关系描述和补偿使用模糊原理，而不是一个精确的基于模型的控制方法。计算机模拟被用来确认非线性补偿的模糊描述确实改善了系统性能，而不需要轴承非线性的精确模型。
A fuzzy logic approach to improve the performance of a magnetic bearing control system is presented. Classical, linear design techniques are most often used to control the natural instability of these bearings but magnetic nonlinearities limit control effectiveness and the region of stable performance. Therefore, the idea here is to adjust the linear controller signal in such a way that nonlinear effects are better compensated. The relationships of attractive force to the electromagnet currents and air gap are described and compensated using fuzzy principles, rather than a precise model-based control approach. Computer simulations are used to confirm that a fuzzy description of nonlinear compensation does indeed improve system performance, without requiring an exact model of the bearing nonlinearities.>