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开关磁阻电机神经网络随控无位置传感器实现
引用本文:郝帅,程咏梅,马旭,付周兴. 开关磁阻电机神经网络随控无位置传感器实现[J]. 微电机, 2011, 44(11): 41-45
作者姓名:郝帅  程咏梅  马旭  付周兴
作者单位:1. 西北工业大学自动化学院,西安,710072
2. 西安科技大学电气与控制工程学院,西安,710054
摘    要:采用以开关磁阻电机(SRM)控制方式与无位置传感器控制相结合的方法,实现无位置传感器控制(即随控无位置传感器)。对SRM采用直接转矩控制(DTC),并在此基础上推导出以绕组相电流和相电压为输入,以各相转矩为输出的非线性映射关系。利用广义回归神经网络的非线性拟合能力实现该输入、输出之间的非线性映射,进行转矩估计,从而消去转矩传感器。仿真结果表明,SRM不仅可以在各种速度下实现无位置传感器控制,还可以有效的抑制转矩脉动。

关 键 词:开关磁阻电机  随控无位置传感器  直接转矩控制  广义回归神经网络  转矩脉动  转矩估计

Control Configured Position Sensorless Achievement of Switched Reluctance Motor Using Neural Network
HAO Shuai,CHENG Yongmei,MA Xu,FU Zhouxing. Control Configured Position Sensorless Achievement of Switched Reluctance Motor Using Neural Network[J]. Micromotors, 2011, 44(11): 41-45
Authors:HAO Shuai  CHENG Yongmei  MA Xu  FU Zhouxing
Affiliation:HAO Shuai1,CHENG Yongmei1,MA Xu1,FU Zhouxing2(1.College of Automation,Northwestern Polytechnical University,Xi'an 710072,China,2.School of Electrical and Control Engineering,Xi'an University of Science and Technology,Xi'an 710054,China)
Abstract:This paper presented an approach that the control strategy of switched reluctance motors(SRM) combined with the methof of position sensorless control to achieve the position sensorless control(as is so-called control configured position sensorless).A new method that combines the generalized regression neural networks(GRNN) with direct torque control(DTC) was proposed to accomplish the positon sensorless control of SRM.The nonlinear mapping relation that winding phase current and winding phase voltage as inp...
Keywords:switched reluctance motor(SRM)  control configured position sensorless  direct torque control(DTC)  generalized regression neural network(GRNN)  torque ripple  torque estimation  
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