DIRECT TORQUE CONTROL OF THE GENETIC NEURAL NETWORK UNDER THE LOW-SPEED

摘要：

　　For the direct torque control of asynchronous motor rapid response and speed ripple,this article proposes the genetic neural network algorithm based on the model of stator flux,to achieve the selecting of switch state under the low-speed.Using the global optimization and search method of genetic algorithm obtains global optimal solution,while the connection weights and networkstructure learning improve the training effectiveness of neural network,so that the BP networ k has better adaptive characteristic.The effectiveness of the design is verified by the simulation,and it shows that the speed control system has good dynamic performance and steady state performance under the low-speed.

关键词： asynchronous motor direct torque control genetic neural network algorithm

作者: Lian Zhang Wei Lai Jie Li

作者单位: School of Electronic Information and Automation,Chongqing University of Technology Chongqing,China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System and Applied Material(2012智能系统与应用材料国际会议)(GSAM2012)

会议地点: 太原

会议语种:英文

页码: 694-697

在线出版日期: 2012-01-13（万方平台首次上网日期，不代表论文的发表时间）