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SRM积分滑模变结构与神经网络补偿控制
引用本文:李永坚,许志伟,彭晓. SRM积分滑模变结构与神经网络补偿控制[J]. 电机与控制学报, 2011, 15(1): 33-37,43
作者姓名:李永坚  许志伟  彭晓
作者单位:湖南工程学院电气信息学院;
基金项目:湖南省科技计划项目(2010GK3100); 湖南省自然科学湘潭联合基金(10JJ9009)
摘    要:针对开关磁阻电机非线性动态特性不易控制的缺点,提出了一种积分型滑模变结构与神经网络补偿相结合的复合控制策略.应用一个具有积分型式的滑模切换面的变结构控制器,使用积分补偿技巧降低系统的振动与稳态误差.为减小滑模面的抖动,引入神经网络补偿控制环节.建立滑模变结构控制的数学模型,并给出神经网络补偿滑模面抖动的控制律表达式.利...

关 键 词:开关磁阻电机  滑模变结构  积分  转矩脉动  神经网络

The hybrid control of SRM based on sliding-mode variable structure control with integral action and neural network compensation
LI Yong-jian,XU Zhi-wei,PENG Xiao. The hybrid control of SRM based on sliding-mode variable structure control with integral action and neural network compensation[J]. Electric Machines and Control, 2011, 15(1): 33-37,43
Authors:LI Yong-jian  XU Zhi-wei  PENG Xiao
Affiliation:LI Yong-jian,XU Zhi-wei,PENG Xiao(Department of Electrical and Information Engineering,Hunan Institute of Engineering,Xiangtan 411104,China)
Abstract:As switched reluctance motor is difficult to be controlled due to its nonlinear,a hybrid control scheme is proposed.The control scheme was implemented by using siding mode variable structure control with integral action and neural network compensation control.Its variable structure controller with a integral sliding mode switching surface can achive good performances of reducing vibration and static errors in switched reluctance motor driving system.Moreover,neural network compensation control was introduce...
Keywords:switched reluctance motors  sliding mode variable structure  integral  torque ripple  neural network  
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