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矢量控制系统由于其高效可控的性能,在异步电机调速领域占据着重要的地位。然而,在电机轴上增设速度传感器的转速检测方法,降低了系统的机械鲁棒性,也增加了成本和复杂性。同时,传统的三电平空间矢量调制算法(SVM)作为底层器件的驱动基础,由于含有大量的三角函数和求根运算,间接制约着矢量控制系统的性能。文章采用120°坐标系的三电平SVM算法,研究了一种基于电流模型磁链观测和模型参考自适应(MRAS)速度辨识的矢量控制方法。从理论建模的角度分析了这种方法的可行性与优越性,并通过仿真与实验验证了方法的正确性。
Vector control system due to its highly efficient and controllable performance, in the field of asynchronous motor speed control occupies an important position. However, adding a speed sensor to the motor shaft to detect the rotation speed reduces the mechanical robustness of the system and adds cost and complexity. At the same time, the traditional three-level space vector modulation algorithm (SVM), as the driving groundwork of underlying devices, has a lot of trigonometric functions and root-seeking operations, which indirectly constrain the performance of vector control system. In this paper, a three-level SVM algorithm with 120 ° coordinate system is used to study a vector control method based on current model flux linkage and model reference adaptive (MRAS) speed identification. The feasibility and superiority of this method are analyzed from the perspective of theoretical modeling. The correctness of the method is verified by simulation and experiment.