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基于非线性模型的开关磁阻电机自适应模糊控制
Self-adapting fuzzy control of SRM based on its nonlinear model
【摘要】 开关磁阻电机 (SRM)结构特殊且具有严重非线性 ,开关磁阻电机驱动系统(SRD)更是一个多变量高度耦合、非线性极强的控制系统 ,采用常规控制方式难以获得良好的控制效果。为研究自适应模糊控制对SRD控制系统的有效性 ,本文从建立SRM非线性电感模型入手 ,导出适合于控制策略研究的SRM非线性数学模型 ,基于此模型进行了SRD系统自适应模糊控制的仿真与实验研究 ,结果表明这种自适应模糊控制能使SRD获得较好的动、静态特性。
【Abstract】 As the Switched Reluctance Motor (SRM) possesses highly nonlinear property due to its special structure and the Switched Reluctance Motor Drive(SRD)appears as a multi\|variable coupling system with serious nonlinearity, the perfect control can not be obtained by the ordinary control methods. To validate the effectiveness of the self\|adapting fuzzy control on a SRD system, a SRM mathematic model was established on the base of the nonlinear inductance model, and the self\|adapting fuzzy control strategy was applied to the system in this paper. Simulation and experiment study demonstrated that this sort of control is able to ensure the SRD to achieve both better static and dynamic performances.
- 【文献出处】 电工电能新技术 ,Advanced Technology of Electrical Engineering and Energy , 编辑部邮箱 ,2001年04期
- 【分类号】TP273.4;TP274.22
- 【被引频次】15
- 【下载频次】240