基于模糊逻辑细分矢量的感应电动机DTC控制

提出了一种基于模糊逻辑细分矢量的感应电动机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,以利于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.仿真和实验研究结果表明,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.

Induction Motor DTC Based on Fuzzy Logic Vector Subdivision

An induction motor DTC scheme based on fuzzy logic vector subdivision was proposed.In order to reduce torque ripple and improve the control performance of flux and torque in DTC system,flux error,torque error and flux angle segments were subdivided,fuzzy logic theory was inducted to carry out fuzzy classification with reasonable,and 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.Simulation and experimental results show that the DTC performance of flux and torque based on fuzzy logic twelve space vectors is greater than traditional DTC.