基于BP神经网络的交流电机软起动器控制策略研究

Study on Induction Motor Soft-starter Control Based on BP Neural Network

软起动器采用交流调压电路来控制电机的起动,已经被广泛使用,如风机、压缩机、水泵等场合。提出了一种基于BP神经网络控制的软起动器控制策略,根据电机的转矩、速度以及负载来精确计算晶闸管触发角,通过建立模型和仿真,说明该控制策略的控制效果稳定且有效,有一定发展前景。

Soft starters are used as induction motor controllers in many applications. This paper describes a BP neural network based ac controller applied in induction motor intelligent soft starter. According to given torque and speed of the motor, the controller can work out the firing angle exactly. For that purpose, a model was set up and emulated, the results it given was satisfactory and promising.