摘要
文章提出一种基于模糊神经网络的模型参考自适应电机转速辨识方法,将其与SVPWM调制技术控制的变频器系统结合起来,组成了一种基于DSP的异步电机无速度传感器矢量控制系统。具体介绍了其结构及软硬件的设计。仿真结果表明此系统动态性能好,能准确跟踪电机转速的变化。
This paper presents a new method of induction motor speed identification. It is the combination of fuzzy neural network (FNN) with model reference adaptive system (MRAS). We combine this method with the inverter controlled by space vector pulse width modulation (SVPWM) to form a field oriented control system of speed sensorless based on DSP. Its structure and software and hardware are analyzed. The Simulation results show that the control system has better dynamic performance and can accurately track the variation of the motor speed.
出处
《中小型电机》
北大核心
2005年第2期40-42,46,共4页
S&M Electric Machines
基金
湖南省自然科学基金资助项目(编号: 02JJY2089)
