| 基于EKF的感应电机无传感器MRFAC控制器设计 |
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| 引用本文： | 牛云龙.基于EKF的感应电机无传感器MRFAC控制器设计[J].煤,2006,15(6):8-12. |
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| 作者姓名： | 牛云龙 |
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| 作者单位： | 兰花科技创业股份有限公司,大阳煤矿分公司,山西,晋城,048000 |
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| 摘 要： | 提出了一种基于扩展卡尔曼滤波(EKF)的感应电机(IM)无传感器模型参考模糊自适应(MRFAC)控制器的设计方法。利用EKF算法,通过测量电机的端电压和流过定子线圈的电流在线估计电机转子的位置和速度;利用模糊自适应机构替代常规自适应机构,构成一个模型参考模糊自适应系统,从而实现具有较强自适应和抗干扰能力的感应电机无传感器矢量控制系统。仿真结果表明:该感应电机无传感器矢量控制系统具有良好的调速性能和转矩响应。
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| 关 键 词： | 扩展卡尔曼滤波 感应电机 模型参考模糊自适应控制 无传感器矢量控制 |
| 文章编号： | 1005-2798（2006）06-0008-05 |
| 收稿时间： | 2006-08-01 |
| 修稿时间： | 2006-08-01 |
Controller Design without Sensor MRFAC Based on EKF Induction Machine |
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| NIU Yun-long.Controller Design without Sensor MRFAC Based on EKF Induction Machine[J].Coal,2006,15(6):8-12. |
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| Authors: | NIU Yun-long |
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| Affiliation: | Dayang Coal Mine Branch, Orchid Science and Technique Stock Co. Ltd. , Jincheng 048000, China |
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| Abstract: | This paper proposed the design method based on the EKF IM MRFAC controller.Using the EKF algorithm,through the survey on the electrical machinery of the terminal voltage and the electric current passing the electronic coil,the electrical machinery rotor position and the speed can be estimated online;using blur auto-suitable organization to substitute convention from the auto-suitable organization to constitute a model parameter to blur from the suitable system,IM vector control system of the strong fuzzy auto-adapted and the disturbance ability comes true.The simulation result indicated that this IMMRFAC system has the good velocity modulation performance and the torque response. |
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| Keywords: | EKF IM MRFAC vector control without sensor |
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