摘要
在研究交流调速系统控制方法的基础上 ,针对交流电机这种复杂的被控对象 ,利用神经网络实现交流调速系统的模糊控制。仿真结果表明 ,该控制方法具有很强的自学习和抗干扰能力 ,当突然加、减负载时 ,神经网络模糊控制与 PID控制相比 ,具有恢复时间短、超调和振荡小等特点。神经网络模糊控制特别适用于结构复杂。
Based on studying of AC speed adjustment system ,a method of fuzzy controller based on neura network is proposed. Simulations show that this method improved the ability of self learning and anti jamming of AC speed adjustment system, and the resuming time of rotate speed in neural network fuzzy control system is much shorter than that in PID control system, and the overshooting and oscillation during the resuming period are also weakened when the loads are suddenly increased or decreased. For systems with complicated structure, strong distur bances high accuracy , this method works well.
出处
《太原理工大学学报》
CAS
2003年第2期193-195,共3页
Journal of Taiyuan University of Technology
