感应电机调速系统的模糊神经网络控制研究  

Fuzzy Neural Network Control on Speed Regulation System of Induction Motor

作　　者：薛剑锋[1] 刘国海[1] 

机构地区：[1]江苏大学,镇江212013

出　　处：《微电机》2010年第5期53-55,76,共4页Micromotors

基　　金：国家自然科学基金资助项目(60874014);教育部博士点基金资助项目(20050299009);江苏省自然科学基金资助项目(BK2007094)

摘　　要：针对多变量、非线性、强耦合的感应电机调速系统,传统的PID控制和模糊控制均不能达到理想的控制效果的问题,依据空间矢量控制理论建立了感应电机的数学模型,提出了一种基于模糊神经网络的感应电机调速系统控制方法,并且在基于神经网络离线训练的基础上提出了在线调整网络参数的策略,实现了感应电机调速系统的高精度控制,并通过Matlab仿真进行了分析研究。结果表明,系统具有优良的动静态性能,且对电机参数的变化与负载扰动具有较强的鲁棒性。The PID control and fuzzy control system could not attain satisfactory performance as the multivariable nonlinear and coupling of the induction motor＇s speed regulation system. In order to get better performance, a fuzzy neural network control strategy to the control of the induction motor＇s speed regulation system was proposed in this paper. A strategy of controling on-line based on ANN was proposed, by which the rotator speed can be controled accurately. The mathematical model of the induction motor was developed according to the space vector theories. Simulation results show that the good static and dynamic performance and the strong robustness to both variation of parameters and load torque disturbance can be achieved by using the proposed method.

关 键 词：模糊神经网络 感应电机 调速系统 在线控制 

分 类 号：TM346[电气工程—电机]