摘要
在分析感应电机数学模型的基础上,提出了一种基于免疫遗传算法(IGA)的递归模糊神经网络(RFNN)控制器的设计方法,并应用于交流感应电机双闭环矢量控制系统中的转速控制器中,对感应电机实现精确的速度控制。为满足控制运算实时性的要求,采用高速数字信号处理器(DSP)作为速度控制与运算单元,成功完成了递归模糊神经网络控制器的DSP实现。实验结果验证了该控制器的可行性。
Based on the analysis of mathematic model of induction motor, this paper proposes a design method of RFNN controller on the basis of IGA, which can also be used in the speed controller in AC induction motor＇s double-closed loop vector control system, in order to achieve accurate speed control towards the induction motor. To meet the need of instant calculating, high-speed DSP is adopted as the speed control and calculation unit, and RFNN controller is successfully achieved through DSP. The experi- mental result proves the feasibility of this controller.
出处
《广州城市职业学院学报》
2009年第4期56-62,共7页
Journal Of Guangzhou City Polytechnic
基金
江苏广播电视大学学术带头人基金资助项目"感应电机的智能控制及其DSP实现研究"的成果(200702014)
