| 磁阻电机的模糊自学习控制 |
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| 引用本文： | 邴阳,徐殿国.磁阻电机的模糊自学习控制[J].电机与控制学报,1998,2(2):100-103. |
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| 作者姓名： | 邴阳 徐殿国 |
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| 作者单位： | 哈尔滨工业大学 |
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| 摘 要： | 磁阻电机由于其转矩是各相电流与转子位置的高度非线性函数，要获得高性能的控制必须借一个非线性的补偿表格以补偿以其非线性。本文给出了一种在转矩反馈的基础上，经由模糊自学习系统学习非线性转矩补偿的方法。该方法克服了以往离线制作补偿表费力且精度不高缺点。学习系统和算法被精心设计使学习收敛速度最快，仿真和实验证明此方法快速有效。
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| 关 键 词： | 磁阻电机 模糊系统 学习算法 自学习控制 |
Control of Reluctance Motor via Fuzzy Learning System |
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| Bing Yang, Xu Dianguo, Wang Zongpei.Control of Reluctance Motor via Fuzzy Learning System[J].Electric Machines and Control,1998,2(2):100-103. |
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| Authors: | Bing Yang Xu Dianguo Wang Zongpei |
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| Affiliation: | Harbin Institute of Technology |
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| Abstract: | The torque produced by reluctance motors is a highly nonlinear function of rotor position and stator windings current, so a nonlinear Look Up Table is needed when the high performance is required. This paper presents a method of compensating the nonlinearity on line via fuzzy learning system. The system and the learning algorithm are designed to reduce the learning time. The simulation and experiment results show the effectiveness of the method. |
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| Keywords: | reluctance motor fuzzy system learning algorithm |
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