| 感应型无轴承电动机的模糊神经网络控制系统 |
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| 引用本文： | 杨国福,郭芙军.感应型无轴承电动机的模糊神经网络控制系统[J].电气应用,2006,25(12):29-32. |
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| 作者姓名： | 杨国福 郭芙军 |
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| 作者单位： | 河北科技大学电气信息学院,050054 |
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| 摘 要： | 由于负载、干扰和径向位移检测误差,无轴承电动机悬浮运行时定、转子中心并不重合,产生偏心,影响了其稳定悬浮控制性能。从运行原理出发,建立了感应型无轴承电动机磁悬浮力的解析模型,并采用模糊神经网络对其进行控制,有效地提高了感应型无轴承电动机稳定悬浮运行的动、静态性能。
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| 关 键 词： | 感应型无轴承电动机 神经网络 模糊控制 |
| 修稿时间： | 2006年3月7日 |
Research of Induction Type Bearingless Motor's Magnetic Suspension Control Using Fuzzy Neural Network |
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| Yang Guofu.Research of Induction Type Bearingless Motor''''s Magnetic Suspension Control Using Fuzzy Neural Network[J].Electrotechnical Application,2006,25(12):29-32. |
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| Authors: | Yang Guofu |
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| Affiliation: | Hebei University of Science of Technology |
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| Abstract: | Due to the load disturbance and detecting error of radial displacement, the centers of stator and rotor of a bearing-less motor do not coincide with each other in practical operation, which will influence the control performance of stable suspension. Based on its operation principle, a relatively accurate analytical expression of the magnetic levitation force for an induction-type bearingless motor is proposed with the eccentricity in the location of stator and rotor taking into consideration.And using fuzzy neural network control the induction-type bearingless motor.Simulation study verifies the effectiveness of the approach in improving the static and dynamic performance of an induction-type bearing-less motor. |
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| Keywords: | induction-type bearingless motor neural network fuzzy logical control |
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