基于修正随机梯度的永磁同步电机参数辨识

World Sci-Tech R & D(2015)

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Abstract
永磁同步电机为典型的多变量参数时变的非线性系统,为了获取其参数有效信息,以保证控制系统的高效运行,结合永磁同步电机系统电压方程,构建系统回归模型,采用随机梯度辨识算法辨识其模型参数,同时引入收敛指数构建修正随机梯度算法以提高辨识过程的收敛性能。仿真结果表明,收敛指数能有效提高算法辨识收敛的速度和精度。
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Key words
permanent magnet synchronous motor(PMSM),multivariable,nonlinear,regression model,modified stochastic gradient,convergence index
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