摘要
矿井提升机是煤矿开采过程的咽喉,保障电机的可靠运转是保障矿井提升机正常工作的前提,对电机进行合理控制至关重要。对矿井提升机双馈电机的结构组成及工作原理进行分析,对直接转矩控制方式的系统结构进行研究,为了弥补只考虑转矩和磁链误差方向导致的问题,引入BP神经网络对双馈电机定子磁链的磁通量进行预测,以其误差大小作为判断PWM逆流器开关的依据。为了验证此方案的合理性,采用MATLAB对提升机的提升过程进行仿真,结果显示,在提升机的运转过程中,提升机的速度和转矩曲线大致与预期一致,定子磁链曲线接近圆形,说明基于BP神经网络的双馈电机直接转矩控制方案具有较好的鲁棒性。
Mine hoist is the throat of the coal mining process.Guaranteeing the reliable operation of the motor is the prerequisite for ensuring the normal operation of the mine hoist.Controling the motor reasonably is the key factor.The structure and working principle of the doubly-fed motor of the mine hoist are analyzed.The structure of the direct-torque control system is studied.In order to make up for the problem caused by only considering the direction of torque and flux linkage error,BP neural network is introduced.The magnetic flux of the stator flux linkage of the doubly-fed electric machine is predicted,and the error magnitude is used as the basis for judging the PWM inverter switch.In order to verify the rationality of this scheme,MATLAB was used to simulate the lifting process of the hoist.The results show that during the operation of the hoist,the speed and torque curves of the hoist are roughly the same as expected,and the stator flux linkage curve is close to a circle.The direct torque control scheme of doubly-fed electric machine based on BP neural network has good robustness.
作者
沈翔
Shen Xiang(Chengdu Vocational and Technical College of Industry,Chengdu 610802,China)
出处
《煤矿机械》
北大核心
2019年第11期176-178,共3页
Coal Mine Machinery
