针对如何提高永磁同步电机控制系统的性能,设计了一种新型的自适应神经模糊( ANFIS)速度控制器,其充分利用神经网络的学习能力与映射能力,实现模糊系统的自学习、自适应功能.对采用这种控制器的永磁同步电机(PMSM)矢量控制系统进行了仿真研究,并分析了仿真波形.控制效果较传统PID控制而言,不仅响应速度快、超调小,而且稳态精度非常高.%Aiming at how to improve the performance in the control system of permanent magnet synchronous motor, this paper designed a new ANFIS speed controller, which makes full use of the learning ability and mapping capabilities of neural network to realize fuzzy system's self-learning and self-adaptive function. In this paper, with using that controller into the PMSM vector control system, the simulation research was done, and its results were analyzed. Compared with traditional PID controller, its control effect not only has high speed responsibility, small overshoot, but also steady precision is very good.
展开▼
