模拟复合正交神经网络在轴向磁轴承中的控制研究  

Control of an Analog Compound Orthogonal Neural Network in Axial Magnetic Bearing

作　　者：魏宏玲[1] 

机构地区：[1]绍兴文理学院机电系,浙江绍兴312000

出　　处：《绍兴文理学院学报》2007年第7期72-75,共4页Journal of Shaoxing University

摘　　要：在数字复合正交神经网络(NN)的基础上提出一种模拟复合正交神经网络,并用于轴向磁轴承的控制中.控制器采用模拟复合正交神经网络与PID的并行控制方法,对带有负载干扰的轴向磁轴承控制系统作了PID控制与NN+PID控制的仿真实验.仿真结果表明,相对于常规PID控制器,该并行控制法具有非常好的抗干扰与自适应能力,获得了满意的控制效果.An analog compound orthogonal neural network was presented on the basis of the digital compound orthogonal neural network and applied to the control of the axial magnetic bearing. The controller was a parallel control method with an analog compound orthogonal neural network and PID. Simulation experiments were made regarding the control system of the axial magnetic bearing with load disturbance using the PID controller and NN ＋ PID controller. Results showed that the parallel control method had excellent anti - disturbance and speed response ability in comparison with PID controller, and satisfactory in control effect. The analog neural controller can be applied to the control of the magnetic bearings

关 键 词：轴向磁轴承 模拟复合正交神经网络 连续学习算法 并行控制 

分 类 号：TH133[机械工程—机械制造及自动化] TM35[电气工程—电机]