| 遗传算法在逆相馈电感应电机中的应用 |
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| 引用本文： | 王秀峰 Cabr.,LA.遗传算法在逆相馈电感应电机中的应用[J].南开大学学报,1997,30(1):38-43. |
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| 作者姓名： | 王秀峰 Cabr. LA |
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| 作者单位： | 南开大学计算机与系统科学系!天津，300071(王秀峰)，阿克伦大学电机系!Akron，OH，44325－3904，U．S．A．(LuisA．Cabrera，MalikE．Elbuluk，WeiHe) |
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| 摘 要： | 直接转矩控制（ＤＴＣ）是工业应用感应电机的最简单的控制。它的关键部件是状态选择器。本文将讨论用神经网络来模拟通常的ＤＴＣ的状态选择器，并且用遗传算法训练该神经网络。然后用训练好的神经网络代替状态选择器，在同一台机器上进行了仿真比较，得到满意结果。另外，还粗略地试验了遗传算法中一些参数对算法性能的影响。
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| 关 键 词： | 遗传算法 状态选择器 感应电机 直接转矩控制 |
TRAINING NEURAL NETWORK USING GENETIC ALGORITHM FOR INVERTER-FED INDUCTION MACHINES |
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| Wang Xiufeng.TRAINING NEURAL NETWORK USING GENETIC ALGORITHM FOR INVERTER-FED INDUCTION MACHINES[J].Acta Scientiarum Naturalium University Nankaiensis,1997,30(1):38-43. |
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| Authors: | Wang Xiufeng |
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| Abstract: | Direct torque control (DTC) is the simplest torque control of induction machines for industrial application.The key components of DTC is the state selector.In this paper,we will discuss to train the neural network using a genetic algorithm.The neural network is used to simulate the state selector of the conventional DTC.The simulations that have been performed were obtained using the trained state selector neural network instead of the conventional DTC for the same machine.The simulation results are satisfying.In addition,we have been tried simply the effect of change in crossover rate and mutation rate. |
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| Keywords: | genetic algorithm neural network DTC state selector |
| 本文献已被 CNKI 维普 等数据库收录！ |
