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作 者:陈涛[1]
机构地区:[1]西南石油大学电子信息工程学院,四川成都610500
出 处:《计算机仿真》2011年第2期240-243,共4页Computer Simulation
摘 要:在永磁同步电机参数优化问题的研究中,永磁同步电机因优越的性能广泛应用于伺服控制领域中。针对永磁同步电机参数随着工作环境的变化具有很强的非线性和时变性,传统的方法很难建立参数的准确数学模型,导致控制精度低。为准确辩识永磁同步电动机的参数,提高控制的精度,提出一种Popov理论的磁同步电机参数辩识方法。根据永磁同步电机的电磁特性建立模型,在Popov稳定理论基础上,推导出自适应参数辩识方法,最后利用Matlab/Simulink平台建立永磁同步电动机参数的自适应辨识仿真模型。仿真结果表明,方法能快速、准确地辩识出电机参数,具有较好的鲁棒性,能够提高控制系统的精度。The permanent magnet synchronous motors(PMSM) have been widely used in control systems for its excellent qualities.However the motor parameters vary with the changing work environment,resulting in the low precision of the traditional control system.In order to achieve the accurate PMSM parameters,an adaptive identification method was proposed based on Popov stability theory.Firstly,the electromagnetic characteristics of permanent magnet synchronous motor is analysis deeply,and then design method of the model was expatiated based on Popov stability theory.Lastly,the model of parameters identification of PMSM was built using Matlab/Simulink.Simulation results show that the method can identify the motor parameters quickly and accurately and has good robustness.The algorithm can improve the accuracy of control system.
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