摘要
为在简化开关磁阻电机控制系统结构的同时又能使其具有较快的转矩响应速度,提出一种适用于开关磁阻电机直接转矩控制的神经网络模糊推理控制方案,用神经网络定子磁链观测器取代传统的定子磁链观测器,采用模糊控制算法设计逆变器开关状态选择器.利用MATLAB对系统2种不同控制方法的仿真实验结果进行比较.通过比较发现,本文的控制方法转矩、转速、磁链响应快、脉动小,具有优良的稳定跟踪性能和动态响应.
DTC strategy for SRM based on fuzzy logic and neural network was proposed for a fast torque response speed and a simplified SRM structure. With the trained neural network, the stator flux observer was established, and the fuzzy control algorithm was applied to design switch selector. Simulation experiment results of two different control methods was compared using MATLAB, which showed that DTC enjoys advantages such as fast flux response, small pressure pulsation, and excellent steady tracking performance and dynamic response.
出处
《深圳职业技术学院学报》
CAS
2009年第5期13-17,共5页
Journal of Shenzhen Polytechnic
基金
江苏广播电视大学学术带头人基金资助项目
