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| 开关磁阻电机神经网络无位置传感器控制 | |
| 引用本文： | 蒯松岩,张旭隆,王其虎,张能. 开关磁阻电机神经网络无位置传感器控制[J]. 电机与控制学报, 2011, 15(8): 18-22 |
| 作者姓名： | 蒯松岩 张旭隆 王其虎 张能 |
| 作者单位： | 1. 中国矿业大学信息与电气工程学院,江苏徐州221008;江苏省电力传动与自动控制工程技术研究中心,江苏徐州221116 2. 中国矿业大学信息与电气工程学院,江苏徐州,221008 |
| 基金项目： | 江苏省自然科学基金(BK2009526); 中国矿业大学青年科研基金(2009A025) |
| 摘 要： | 针对现有开关磁阻电机(SRM)的转子位置传感器使得系统成本和复杂度提高、坚固性和可靠性降低的问题,研究了SRM无位置传感器DSP控制实现.建立了开关磁阻电机位置检测神经网络模型,并给出了提出对象的学习算法和训练步骤.采用TMS320F2812 DSP实现神经网络在线训练算法,开发完成了一台15kW三相12/8极无位置传... |
| 关 键 词： | 神经网络 开关磁阻电动机 无位置传感器 数字信号处理器 |
Position sensorless control of SRM using neural network |
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| KUAI Song-yan,ZHANG Xu-long,WANG Qi-hu,ZHANG Neng. Position sensorless control of SRM using neural network[J]. Electric Machines and Control, 2011, 15(8): 18-22 | |
| Authors: | KUAI Song-yan ZHANG Xu-long WANG Qi-hu ZHANG Neng |
| Affiliation: | KUAI Song-yan1,2,ZHANG Xu-long1,WANG Qi-hu1,ZHANG Neng1 (1.School of Information and Electrical Engineering,China University of Mining and Technology,Xuzhou 221008,China,2.Jiangsu Electrical Drive and Control Engineering Research Center,Xuzhou 221116,China) |
| Abstract: | As position sensor of switched reluctance motor(SRM) increases system cost and complexity,while reduces robustness and reliability,sensorless control of SRM based on DSP was proposed.A neural network of rotor position estimation for SRM sensorless drive was set up.On-line learning algorithms and training steps were also given.Neural network on-line training algorithm was achieved by TMS320F2812 DSP,and 15kW three-phase 12/8 pole sensorless SRD was set up.Experimental results show that the system has a good ... |
| Keywords: | neural network switched reluctance motors sensorless digital signal processor |
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