基于MATLAB的无速度传感器矢量控制仿真

Research of speed-sensorless vector control simuliation based on Matlab

设计了参数自调整模糊控制代替常规的PI调节器,构建无速度传感器异步机矢量控制系统,并运用Matlab、Simulink工具构造异步电动机的矢量控制解藕数学模型、自适应神经网络速度辩识模型和参数自调整模糊控制器,对无速度传感器矢量控制系统进行了仿真.仿真结果表明:自适应神经网络速度辨识具有较高的辨识精度,且该系统具有良好动、静态性能.

This paper constructs a speed-sensorless vector motor control system, by replacing conventional PI regulator with parameter self - adjusting fuzzy controler. It also simulates a speed-sensorless vector control system with the SIMULINK TOOL of Maflab software to form a vector control mathematical solution of a motor, an adaptive neural network speed identification model and parameter self- adjusting fuzzy controller. The simulation results show that the adaptive neural network speed identification has high identification precision and the system has good dynamic＆ static performance.