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机构地区:[1]湖南大学电气与信息工程学院,湖南长沙410082 [2]长沙毅超自控技术有限公司,湖南长沙410082
出 处:《电源技术》2012年第6期876-878,907,共4页Chinese Journal of Power Sources
基 金:湖南省科技计划项目(2012FJ3198)
摘 要:提出了一种基于模糊逻辑细分矢量的感应电机DTC控制方案。该方案以减小转矩脉动和改善DTC系统转矩与磁链控制性能为目标,将定子磁链误差、转矩误差和磁链角度进行细分,引入模糊逻辑思想进行合理的模糊分级,再结合细分的十二空间电压矢量建立模糊开关选择表,以利选择最优空间电压矢量,改善磁链、转矩的平稳性及转矩脉动。对该方案进行了仿真和实验研究,结果表明这种模糊逻辑十二空间电压矢量的DTC控制比传统DTC系统转矩与磁链控制性能更优越。An induction motor DTC scheme based on fuzzy logic vector subdivision was proposed. Aiming to reduce the torque ripple and improve the control performance of flux and torque in DTC system, the flux error, torque error and flux angle segments were subdivided, the fuzzy logic theory was adopted to carry out the reasonable fuzzy classification, and then a fuzzy switch table was established by combining the subdivided twelve space vectors for the benefit of selecting the optimal space voltage to improve the stationary of flux and torque and to reduce torque ripple. The simulation and experiment results show that DTC performance of flux and torque based on fuzzy logic twelve space vectors is greater than traditional DTC.
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