摘要
为了减小无位置传感器无刷直流电机的转矩脉动,在分析无刷直流电机换相及间接位置检测原理的基础上,改进了传统反电动势法的检测电路,对反电动势相移进行了补偿,以消除电机中性点电压和阻容滤波对反电动势检测电路的影响。为进一步抑制转矩脉动和改善系统的稳定性,在采用换相电流预测控制策略的基础上,设计了神经网络PID控制器。实验结果表明,设计的转矩脉动综合抑制策略有效地降低了无位置传感器无刷直流电机的转矩脉动,具有较好的鲁棒性,准确地实现了无位置传感器换相控制,提高了系统的可靠性。
To minimize the torque ripple of position-sensorless brushless direct current motor （BLDCM）, on the basis of analyzing the commutation process and the position-sensorless control principle of BLD- CM, the detection circuit of traditional back electromotive force （BEMF） method was improved and the phase shifting of BEMF was compensated so that the influence on BEMF detection circuit from motor neutral point and RC filter could be eliminated. To further suppress the torque ripple and improve the system＇s stability, based on adopting commutation current prediction control, neural network （NN） PID controller was designed. The experimental results show that the proposed method effectively reduce the torque ripple, have good robustness, successfully achieve position-sensorless commutation control of BLDCM, and improve the reliability of the system.
出处
《电机与控制学报》
EI
CSCD
北大核心
2008年第3期248-253,共6页
Electric Machines and Control
基金
陕西省中小企业创新基金项目(06C26216100555)
关键词
直流电机
无刷直流电机
无位置传感器
反电动势法
转矩脉动
DC motors
brushless direct current motor
position sensorless
back electromotive force method
torque ripple
