摘要
提出一种递归模糊神经网络控制器的设计方法，并应用于永磁同步电机双闭环调速系统中的转速和电流调节器，对永磁同步电机实行精确的速度控制，根据电机的数字调速控制策略，设计了基于DSP的硬件电路，并进行计算机仿真。仿真结果表明，采用递归模糊神经网络控制的调速系统与传统的PID控制相比，具有很强的鲁棒性和自适应能力，显示出良好的动静态特性和控制效果。
The paper puts forward the design method of a fuzzy neural network controller, which is applied to double loop of PMSM speed control system of speed and current regulator with the the precise implementation of permanent magnet synchronous motor speed control. It also design the hardware circuit based on DSP and computer simulation according to the number of motor speed control strategy. Simulation ：results show that the recurrent fuzzy neural network control of the speed control system, compared with the conventional PID control, has strong robustness and adaptive ability, indicating the good dynamic and static characteristics and control effects.
关键词
永磁同步电机
递归模糊神经网络
DSP
控制
仿真
permanent magnet synchronous motor
recurrent fuzzy neural network
DSP
control
simulation
