永磁无刷直流电机智能直接转矩控制方法研究

Research of DTC for BLDCM Based on Intelligent Control

为简化永磁无刷直流电机控制系统的结构,同时又具有较快的转矩响应速度,提出一种基于神经网络模糊推理的无刷直流电机直接转矩控制方案,利用神经网络定子磁链观测器取代传统的定子磁链观测器,通过模糊控制算法设计逆变器开关状态选择器.应用MATLAB软件对系统两种不同控制方法的仿真实验结果比较表明,控制方法转矩、转速、磁链响应快、脉动小,稳定跟踪性能和动态响应优良,具有一定的理论研究及工程应用价值.

For a simplifiel BLDCM control system structure to have the quick torque speed in response, the DTC strategy for BLDCM based on fuzzy logic and neural network was proposed. With the trained neural net- work, the stator flux observer was established, and the fuzzy control algorithm was applicated with state switch selector. Simulation experiment results for two kinds of different control methods was compared using MATLAB. The control torque, speed and flux response was fast, and response fluctuating was small. It has g good steady-state tracking performance.and dynamic response.