摘要
提出了一种直流无刷电动机的N-PI转速调节器的设计方法。在直流无刷电动机的高性能速度跟踪中,若仅采用传统的PI调节器,则难以克服系统超调和短时振荡问题。采用复合N-PI的控制方法,利用神经网络的自学习自适应功能在线调整PI控制参数。文中提出了一种模型参考自适应与神经网络相结合的控制策略,利用在线辨识技术,对参数变化实时补偿,及时修正神经网络权值的计算。最后,在Matlab/Simulink下进行了仿真,结果表明,运用这种设计方法很好地抑制了超调和振荡。
In this paper, a neural network-PI controller is proposed for controlling the speed of BLDCM in high-performance drives environment. In such environment, if PI controller is only used, there must be overregulating and instantaneous oscillation. In this paper,a multiple N-PI system is used, and online update the PI parameters with self-study and adaptive functions of a neural network. A model reference adaptive and neural network control strategy is proposed in this paper, an on-line indentification technique is used to compensate the variation of the parameters and modify the calculation of the neural netwrk＇s weight. The result of this control method is satisfied in Matlab/Simulink. So this method help to reduce the over-regulating and eliminate oscillation.
出处
《组合机床与自动化加工技术》
2006年第6期53-56,共4页
Modular Machine Tool & Automatic Manufacturing Technique
关键词
直流无刷电机
神经网络
转速控制
仿真
brushless DC motor
artificial neural netwrk
speed control
Simulation
